Thomas Gaudin nymous

Logging setup for FastAPI

This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.

Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!

Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly). All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented. This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog. You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom

Random unplayed movie in Emby

Go to your Emby interface, open your Movies collection
The URL will look like this: http://1.2.3.4/web/index.html#!/movies?serverId=16fe3a5de47f25fb1de848c0a3f435a9&parentId=fc3b74e25d482b4b1bbd0f314e60f776. Copy the parentId value (the part after parentId=, in this example it's fc3b74e25d482b4b1bbd0f314e60f776
Change the @@MOVIE CATEGORY ID@@ value (between two %22, parentId%3A%20%22@@MOVIE CATEGORY ID@@%22%7D)) in the code below with the value you copied in the previous step (eg. parentId%3A%20%22fc3b74e25d482b4b1bbd0f314e60f776%22%7D)

javascript:(async%20function()%7Bwindow.movies%20%3D%20window.movies%20%7C%7C%20(await%20ApiClient.getItems(await%20ApiClient.getCurrentUserId()%2C%20%7Brecursive%3A%20true%2C%20parentId%3A%20%22@@MOVIE CATEGORY ID@@%22%7D)).Items%3B%0A%20%20%20%20const%20unplayedMovies%20%3D%20movies.filter(movie%20%3D%3E%20movie.UserData.Played%20%3D%3D%3D%20false%20%26%26%20movie.IsFolder%20%3D%3D%3D%20false)%3B%0A%20%20%20%

You can also check the official documentation and example here https://pydantic-docs.helpmanual.io/usage/types/#literal-type

JavaScript à la papa, 2009, jQuery, interfaces peu complexes
évolution des moteurs JS, naissance de NodeJS, développements front et serveur dans un seul langage, explosion du JS en front, applications SPA...
renaissance du langage, nouvelles évolutions avec l'ECMAscript
différents frameworks, évolution des méthodes de développement de plus en plus industrielles et complexes (grunt, gulp, webpack)
développement du JS comme langage universel, utilisé pour le front web, le back, les applis mobiles (hybrides et/ou natives), les applis desktop...

Keybase proof

I hereby claim:

I am nymous on github.
I am nymous (https://keybase.io/nymous) on keybase.
I have a public key ASBM4TYY-dtuCfvw8tmrXs4_i5wExhVc7Drtmyd-k0_cPwo

To claim this, I am signing this object:

Best Practices

Here you can find a number of best practices that you should strive to follow when you develop.
This will ensure that we produce better and safer code, easier to understand, to extend, in short: more maintainable.

	// ==UserScript==
	// @name Replace Vault IDs with names
	// @namespace http://tampermonkey.net/
	// @version 2024-03-04
	// @description try to take over the world!
	// @author You
	// @match https://<your vault url>/*
	// @icon https://icons.duckduckgo.com/ip2/www.vaultproject.io.ico
	// @grant none
	// ==/UserScript==

	from typing import Literal
	from enum import Enum
	import logging

	from pydantic import BaseModel, ValidationError
	from pydantic.utils import version_info


	print("=== PYDANTIC INFO ===")
	print(version_info())

	import csv
	from collections import Counter

	# Download the "Project breakdown" from Sentry
	with open("your-file-per-project.csv", "r", newline='') as file:
	reader = csv.DictReader(file)
	summed = Counter()
	for row in reader:
	summed.update({row["projectSlug"]: int(row["acceptedEvents"])})

	#!/bin/bash
	while true
	do
	clear
	echo "
	,,:.,::.
	,.. ::.
	,.. ,,.
	.. ,..
	.. ,.