kazqvaizer

# This module introduces a Pydantic-first approach for handling Django model
# references in API schemas, serving as a lightweight alternative to DRF
# serializers and their OpenAPI integrations. Instead of relying on DRF’s
# serialization layer, it defines a resolvable wrapper that represents Django
# model instances by ID while keeping schema definitions fully Pydantic-based.
# A dynamic OrmResolvable type generates model-specific proxies, and a recursive
# resolver hydrates these proxies into actual Django instances after validation.
# The ProjectBaseModel hooks this resolution step into Pydantic’s lifecycle,
# enabling clean, declarative API schemas that remain tightly aligned with
# Django models without DRF’s overhead. This is intended for projects wishing

kazqvaizer

PYTHON_VERSION=3.11.9

pyenv install $PYTHON_VERSION
pyenv shell $PYTHON_VERSION

WHERE_IS_THE_PYTHON_UBUNTOVSKI=`pyenv which python`

pipx reinstall --python=$WHERE_IS_THE_PYTHON_UBUNTOVSKI poetry
pipx reinstall --python=$WHERE_IS_THE_PYTHON_UBUNTOVSKI cookiecutter

kazqvaizer

#!/bin/bash
#
# Update whole docker swarm stack from CI job and wait untill success. 
# Inits rollback process in case of unsuccessfull deployment.
#
# Requires another script from here: https://github.com/sudo-bmitch/docker-stack-wait 
#
# By: Alexey Chudin <kazqvaizer@gmail.com>
# License: MIT
#

kazqvaizer

#!/bin/bash

mplayer -ontop -noborder -geometry 300x300+80+750 -vf mirror,crop=240:240:30:0 -vo gl2 -msglevel all=0 -tv width=300:height=300:device=/dev/video0 tv:// &

simplescreenrecorder --start-hidden &>/dev/null & 

sleep 3

wmctrl -r MPlayer -b add,sticky

kazqvaizer

"""
Here is a way to flatten python dictionaries for making multipart/form-data POST requests.

{"some": ["balls", "toys"], "field": "value", "nested": {"objects": "here"}}

    ->

{"some[0]": "balls", "some[1]": "toys", "field": "value", "nested[objects]": "here"}