pymen

Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Last major update: 25.08.2020

Что такое авторизация/аутентификация
Где хранить токены
Как ставить куки ?
Процесс логина
Процесс рефреш токенов
Кража токенов/Механизм контроля токенов

Batching migrations

The idea here is that if you know which migrations were in version 2.0.3 of your project and which were in version 2.0.4 then setA - setB gives you the list of migrations you need to undo.

Django migrations give you a directed acyclic graph which describes how to get from the current database state to the target state. But there is no mechanism by which you can perform tasks like revert all the migrations that just ran in the last deployment.

Here is a quick recipe for batching Django migrations to allow you to do things like that.

Before you tag your project you do:

	Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches.
	Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed.
	Use <count> tags after each step to show the remaining budget. Stop when reaching 0.
	Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
	Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process.
	Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach:

	0.8+: Continue current approach
	0.5-0.7: Consider minor adjustments
	Below 0.5: Seriously consider backtracking and trying a different approach

	import logging
	import sentry_sdk

	from ratelimitingfilter import RateLimitingFilter
	from sentry_sdk.integrations.django import DjangoIntegration
	from sentry_sdk.integrations.logging import LoggingIntegration

	# Sentry
	sentry_logging = LoggingIntegration(
	level=logging.INFO, # Capture info and above as breadcrumbs

	# Use systemd for managing NVIDIA driver suspend in drivers ====>>> PRIOR to version 470 <<<=====
	# https://download.nvidia.com/XFree86/Linux-x86_64/450.66/README/powermanagement.html
	# https://forums.developer.nvidia.com/t/unable-to-set-nvidia-kernel-module-parameters/161306
	# Please note: In Fedora Linux you may need to just install the xorg-x11-drv-nvidia-power pakage
	# as sugested by @goombah88 in the comments below.

	TMP_PATH=/var/tmp
	TMPL_PATH=/usr/share/doc/nvidia-driver-460/

	echo "options nvidia NVreg_PreserveVideoMemoryAllocations=1 NVreg_TemporaryFilePath=${TMP_PATH}" \| sudo tee /etc/modprobe.d/nvidia-power-management.conf


	import logging


	class AdvancedLogger:
	"""
	AdvancedLogger can be used for fine grained logging temporary modifications

	How it works:
	Modifications will be enabled when context_manager/decorator starts working and be reverted after

	# file: objects.py
	# Copyright 2020 Frank David Martínez Muñoz (mnesarco)
	# License: MIT

	from typing import Union

	__all__ = ('self_properties', 'properties')


	def self_properties(self, scope: dict, exclude=(), save_args: bool = False):

	# on a fresh Ubuntu 16.04 host
	sudo apt-get update

	# copy Ubuntu source packages from http://archive.ubuntu.com/ubuntu/pool/main/o/openssh

	wget http://archive.ubuntu.com/ubuntu/pool/main/o/openssh/openssh_7.6p1-4.dsc
	wget http://archive.ubuntu.com/ubuntu/pool/main/o/openssh/openssh_7.6p1.orig.tar.gz
	wget http://archive.ubuntu.com/ubuntu/pool/main/o/openssh/openssh_7.6p1.orig.tar.gz.asc
	wget http://archive.ubuntu.com/ubuntu/pool/main/o/openssh/openssh_7.6p1-4.debian.tar.xz

	import logging.config
	import os
	from django.utils.log import DEFAULT_LOGGING

	# Disable Django's logging setup
	LOGGING_CONFIG = None

	LOGLEVEL = os.environ.get('LOGLEVEL', 'info').upper()

	logging.config.dictConfig({

	curl -I -X OPTIONS \
	-H "Origin: http://EXAMPLE.COM" \
	-H 'Access-Control-Request-Method: GET' \
	http://EXAMPLE.COM/SOMETHING 2>&1 \| grep 'Access-Control-Allow-Origin'