Vincent Meijer veuncent

Google / YouTube Authentication using a Brand Account

Below describes the only way I was able to get (programmatic) access to the YouTube Analytics API on behalf of our Brand Account. Google documentation is convoluted, to say the least, so if you know a more straightforward way, please do share.

Getting a Client ID and Refresh Token

Create a Project in the Developers Console - https://console.developers.google.com/
Go to the Library tab and enable desired APIs (e.g. YouTube Analytics)
Go to OAuth consent screen and make project external. Select Test mode

Install ptvsd using the same Python interpreter Qgis uses. E.g. on Windows:

C:\OSGeo4W64\apps\Python37\python.exe -m pip install ptvsd==4.3.2

Add a debug configuration to launch.json:

{
    "name": "Python: Remote Attach",

AWS Glacier: Delete vault

Follow these steps to remove all archives from an AWS vault. After this is finished, you will be able to delete the vault itself through the browser console.

Step 1 / Retrieve inventory

This will create a job that collects required information about the vault.

$ aws glacier initiate-job --job-parameters '{"Type": "inventory-retrieval"}' --account-id YOUR_ACCOUNT_ID --region YOUR_REGION --vault-name YOUR_VAULT_NAME

Tutorial: scheduled start/stop of EC2 instances managed by Auto Scaling Groups

If your EC2 instances in AWS are managed through Auto Scaling Groups, it is easy to schedule startup and shutdown of those instances, e.g. to save money.

This tutorial walks you through setting up an AWS Lambda function that is triggered by CloudWatch Events and automatically changes the min, max and desired instances in your Auto Scaling Group(s).

The idea is to toggle between 0 (stop) and a specifed min, max and desired amount of instances (start), so you only need a single Lambda function. The premise is that you do not touch these Auto Scaling Group settings manually, or you might make your EC2 instances nocturnal.

Create new Lambda function and Start Event

Remote debugging in Docker (for Django apps)

In order to enable debugging for your Django app running in a Docker container, follow these steps using Visual Studio (Code):

Add ptvsd to your requirements.txt file

ptvsd == 4.3.2

To your launch.json, add this:

	- Create a CA, keys and certificates
	- Source: https://docs.docker.com/engine/security/https/


	# Create certs dir
	mkdir ~/certs
	cd ~/certs

	# Ca key
	openssl genrsa -aes256 -out ca-key.pem 4096

	# -- coding: utf-8 --
	from __future__ import unicode_literals

	from django.db import migrations, models
	from wagtail.wagtailcore.models import Page, Site


	def forwards_func(apps, schema_editor):

	HomePage = apps.get_model('website', 'HomePage')