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/**
 * Example to refresh tokens using https://github.com/auth0/node-jsonwebtoken
 * It was requested to be introduced at as part of the jsonwebtoken library,
 * since we feel it does not add too much value but it will add code to mantain
 * we won't include it.
 *
 * I create this gist just to help those who want to auto-refresh JWTs.
 */

const jwt = require('jsonwebtoken');

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Automate Deploy Node App in Amazon EC2 Linux

PREREQUISITES

To Login

ssh -i <private-key-file/pem> ec2-user@[ec2-hostname].amazonaws.com

1. Install Node JS & pm2 Ref:

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 query IntrospectionQuery {
    __schema {
      queryType { name }
      mutationType { name }
      types {
        ...FullType
      }
      directives {
        name
        description

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Ikea Bekant standing desk with Gerton table top

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# Monkey Patch: Add a count field to all connections by default.
# Note, I tried to make this nicer, where it would just call the original method and then add a count field,
# but the challenge outlasted my patience. So I just replaced the whole method. TODO: better way to do this
module GraphQL
  module Relay
    module ConnectionType
      def self.create_type(wrapped_type, edge_type: wrapped_type.edge_type, edge_class: GraphQL::Relay::Edge, nodes_field: ConnectionType.default_nodes_field, &block)
        custom_edge_class = edge_class

        # Any call that would trigger `wrapped_type.ensure_defined`

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# Define an instrumentation that performs the caching
class CachingInstrumentation
  def instrument(_type, field)
    return field unless field.metadata.include?(:cache_proc)
    
    old_resolver = field.resolve_proc
    new_resolver = -> (obj, args, ctx) do
      # Get the caching key
      cache_key = field.metadata[:cache_proc].call(obj, args, ctx)
      

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# Define an instrumentation that performs the caching
class CachingInstrumentation
  def instrument(_type, field)
    return field unless field.metadata.include?(:cache_proc)
    
    old_resolver = field.resolve_proc
    new_resolver = -> (obj, args, ctx) do
      # Get the caching key
      cache_key = field.metadata[:cache_proc].call(obj, args, ctx)
      

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#!/usr/bin/env python3

# Copyright (c) 2019 acidzebra
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#

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source 'https://rubygems.org'
gem "graphql", github: "rmosolgo/graphql-ruby", branch: "subscriptions"
gem "sinatra"
gem "thin"

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UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG