fprieur

#heroku config:set HEROKU=1

import os
import urlparse
import psycopg2
from flask import Flask
from flask_peewee.db import Database


if 'HEROKU' in os.environ:

whostolemyhat

background (46, 46, 46)
comment grey (121, 121, 121)
white (214, 214, 214)
yellow (229, 181, 103)
green (180, 210, 115)
orange (232, 125, 62)
purple (158, 134, 200)
pink (176, 82, 121)
blue (108, 153, 187)

hodgesmr

"""Flask Blueprint sublcass that overrides `route`.

Automatically adds rules for endpoints with and without trailing slash.
"""
from flask import Blueprint, Flask


class BaseBlueprint(Blueprint):

    """The Flask Blueprint subclass."""

cwurld

"""
Mostly the Google quickstart.py code with the "freebusy" service running.

Also shows how to make datetimes using pytz.

Follow these instructions to get access credentials:

    https://developers.google.com/google-apps/calendar/quickstart/python

"""

reggi

How to setup AWS lambda function to talk to the internet and VPC

I'm going to walk you through the steps for setting up a AWS Lambda to talk to the internet and a VPC. Let's dive in.

So it might be really unintuitive at first but lambda functions have three states.

1. No VPC, where it can talk openly to the web, but can't talk to any of your AWS services.
2. VPC, the default setting where the lambda function can talk to your AWS services but can't talk to the web.
3. VPC with NAT, The best of both worlds, AWS services and web.

romaninsh

# Add the following to your existing VPC CF stack

  # create 2 subnets, lambdas like to be in multiple subnets
  Private1:
    Type: AWS::EC2::Subnet
    Properties:
      VpcId: !Ref VPC
      AvailabilityZone: !Select [ 0, !GetAZs ]
      CidrBlock: !Ref Private1CIDR

Morreski

from datetime import datetime, timedelta
import functools


def timed_cache(**timedelta_kwargs):                                              
                                                                                  
    def _wrapper(f):                                                              
        update_delta = timedelta(**timedelta_kwargs)                              
        next_update = datetime.utcnow() + update_delta                            
        # Apply @lru_cache to f with no cache size limit                          

ranrib

{
  "Records": [
    {
      "messageId": "74140753-924c-4084-8a74-768b6a33e982",
      "receiptHandle": "AQEBRb3GKquMc9HvQSh9GDZ++ETxyjxN45wtOB449zvUlUlaBmoxyhXhr5QWyVNoUyvytHvz5GFfeZq/Af4SpBYe6j85T0rYi/TA+690UXJuv3Vc/U9ql5NLHdLSmvqvsQDVXi7TWzcX0ER+",
      "body": "test",
      "attributes": {
        "ApproximateReceiveCount": "1",
        "SentTimestamp": "1531136255184",
        "SenderId": "AROAJ3ZGMT746QFJO6ZL4:sqs-lambda-tutorial-production-start-lambda",

a7v8x

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

mgaitan

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
List the most recent branches you have been working on, and checkout any of them.

# Install

Put this file somewhere in your PATH, and set execution permissions.
Git will recognize it as the "recent-branches" subcommand.