I need some help with #powershell where we need to export some #json values all as strings. So the numbers we have in the object need to be strings, but only are exported as integers.
I want to make a web app for viewing, creating, and modifying entries saved to a local file. I will use it on my old budget Android phone, and I want it to be as performant as I can possibly make it.
@cvennevik …And, in case you do decide to go this route, to make it easier for you, I just added .json() and .jsonFile() response helpers to the response objects passed to Kitten routes :)
@jamesog thanks for sharing this! I’m going to have to play with it. I have some complex #JSON cases that might really benefit. I also see promise in cases where today I might translate #XLSX to #CSV and then import into #SQLite. Why do all that if I can query the original directly? Awesome!
"JSON Patch is a format for describing changes to a #JSON document. It can be used to avoid sending a whole document when only a part has changed. When used in combination with the #HTTP PATCH method, it allows partial updates for HTTP #APIs in a standards compliant way."
#Bebop is a binary serialization repo, much faster than #json and supports many languages, including #Rust. The documentation also appears to have been created with #Astro, just a nice touch.
Most AI tools have limitations on the amount of text they can process at once.
Large inputs can hurt accuracy, cause memory issues, or lead to the AI getting “lost” in the complexity.
Proceeding in smaller chunks allows you to course-correct issues along the way for a better end result.
Precision: Smaller prompts give you more control over the AI’s output. You can provide tailored instructions for each step, directing the final result with greater accuracy.
Understanding how to break down complex tasks is essential for interacting effectively with AI tools. Even outside of prompt engineering, we do this naturally in many settings. Writing documentation often starts with a simple outline, expanding into greater detail over time. Similarly, a complex codebase is built through incremental steps, adding components over time. Learning to identify those smaller steps within a complex problem is fundamental to working with AI tools.
In this tutorial, you’ll learn to create a complex tree diagram (in ASCII text) from a JSON block. Breaking this task down into smaller steps will make it easier for the AI to process and will ultimately yield a more accurate and visually appealing diagram."
I highly recommend BitWarden as a password manager. It is free, open source, and has a great range of apps and APIs. The one thing it doesn't have is a way to sort your accounts by creation date. I now have over a thousand accounts that I've added - so I wanted to prune away […]
In the desktop version of BitWarden, go to File → Export Vault. Choose the JSON format (this doesn't work for CSV) and follow the on-screen instructions.
This command pipes your export to JQ. It selects all the items, then it sorts by when the item was last edited. It then displays the name of the account and the date, followed by a newline.
It would be great if BitWarden allowed sorting by date in their UI. Even better if they could sort by usage. Until then, I'll spend every Valentine's Day manually deleting old and unloved accounts.
Fun fact: had #ActivityPub object representation been #XML#RDF instead of #JSON, little more than a thin wrapper with #XSLT and #noJavaScript would have been sufficient to serve them on the web —statically.
On Feb 1st, 2024, #Apple released Pkl. Pronounced "pickle", it is a complete configuration scripting language, including a JSON/YAML/XML/more compiler, a language server, bunch of IDE plugins, and of course direct bindings for your favorite programming language, for quick adoption. A #Python binding seems missing.
I like how a Pkl config's specs and values are colocated. Always hated maintaining separate schemas for very simple configs.
Tra i giorni passati fino a ieri, ho fatto delle robine #sperimentali su #MBViewer, era questo che dovevo #scrivere… La prima è stata, più che altro perché mi serviva effettivamente da tempo una piccola #app in grado di fare questa cosa, implementare la lettura del formato di esportazione chat in #JSON di #Telegram. Infatti, le #conversazioni da lì possono essere esportate anche in JSON per usi di manipolazione dati futuri, oltre che HTML per consultazione immediata; però, appunto non c’è ufficialmente un modo per leggere una #chat esportata in quel #formato macchina, e la conversione in HTML statico dopo sarebbe facile ma bruttina: avere un lettore con un’interfaccia a bolle classica so già che può tornarmi utile, perché ho qualche dump non-HTML da parte. 📦️
A parte la #scocciatura per interpretare la struttura #dati del testo di Telegram e trasporla in #HTML corretto, non è stato complesso… eccetto che c’è un #problema. Il sistema funziona, ma il #programma tende a soffocare male con dump di troppi #messaggi. Dopo poche migliaia, già subentrano #rogne, con l’uso di RAM della scheda del #browser che arriva a più di 1 GB, e il caricamento, se riesce a finire senza che tutto crashi, è veramente lentissimo. Potrei in teoria risolvere la cosa, ma è veramente una #pazzia, dovrei portare ancora di più la codebase all’assurdo per fargli caricare elementi DOM a mano a mano da una struttura che di base è comunque un singolo file tutto in memoria, perché così è il formato… per ora lascio tutto così, purtroppo nessuno mi paga, quindi nessuno godrà al 100%. 😈️
It is at this point that I noticed a lack of native supported for IRI in JVM languages. "Up the spec chain" situation was spotty; I found a couple of libs implementing parts of it. But lacking a standard representation of basic concept such as links seemed troublesome.