Published on: 2025-04-27 02:56:18
Suppose you have an API route that returns some data as JSON: app . get ( ' /api/likes/:postId ' , async ( req , res ) => { const postId = req . params . postId ; const [ post , friendLikes ] = await Promise . all ([ getPost ( postId ), getFriendLikes ( postId , { limit : 2 }), ]); const json = { totalLikeCount : post . totalLikeCount , isLikedByUser : post . isLikedByUser , friendLikes : friendLikes , }; res . json ( json ); }); You also have a React component that needs that data: function
Keywords: data friendlikes json post postid
Find related items on AmazonPublished on: 2025-05-06 08:35:36
I’ve been trying to write this post at least a dozen times. I don’t mean this figuratively; at one point, I literally had a desktop folder with a dozen abandoned drafts. They had wildly different styles—from rigoruous to chaotically cryptic and insufferably meta; they would start abruptly, chew on themselves, and eventually trail off to nowhere. One by one, I threw them all away because they all sucked. It turns out that I wasn’t really writing a post; I was actually preparing a talk. I was pre
Keywords: alert function json prompt return
Find related items on AmazonPublished on: 2025-05-19 05:00:49
Omni OCR Benchmark A benchmarking tool that compares OCR and data extraction capabilities of different large multimodal models such as gpt-4o, evaluating both text and json extraction accuracy. The goal of this benchmark is to publish a comprehensive benchmark of OCRaccuracy across traditional OCR providers and multimodal Language Models. The evaluation dataset and methodologies are all Open Source, and we encourage expanding this benchmark to encompass any additional providers. Open Source LL
Keywords: benchmark extraction json models ocr
Find related items on AmazonPublished on: 2025-05-25 19:27:55
dish tiny one-shot monitoring service one-shot monitoring service remote configuration of independent 'dish network' (via -source ${REMOTE_JSON_API_URL} flag) configuration of independent 'dish network' (via flag) fast concurrent testing, low overall execution time, 10-sec timeout per socket by default concurrent testing, low overall execution time, 10-sec timeout per socket by default 0 dependencies Install go install go.vxn.dev/dish/cmd/dish@latest Usage dish -h Usage of dish: -failedO
Keywords: dish json sockets source string
Find related items on AmazonPublished on: 2025-05-25 15:10:27
JSON is the most common serialization format used in streaming pipelines, so it pays to be able to deserialize it fast. This post covers in detail how the arrow-json library works to perform very efficient columnar JSON decoding, and the additions we've made for streaming use cases. My day job is working on the Arroyo stream processing engine, which executes complex, stateful queries over high-scale streams of events. Computing things like windowed aggregates, stream joins, and incrementally-co
Keywords: data json like string tape
Find related items on AmazonPublished on: 2025-06-03 07:57:56
There’s also a talk based on this article if you prefer video based content. You can find it here. For a developer, a Container image is essentially a collection of configurations required to run a container. But what really is a container image? You might know what a container image is, how it is made up of layers and that it’s a collection of tar archives. There are questions that still went unanswered, questions such as what makes up a layer, how are layers combined to form a complete filesy
Keywords: container hello image json layer
Find related items on AmazonPublished on: 2025-06-04 08:32:04
Decoding JSON sum types in Go without panicking The Go programming language doesn't have native support for sum types, but we'll see how we can emulate them, how to decode and encode them into JSON, and how in some cases they can help avoid runtime panic exceptions. Whether we find them useful or not, sum types exist Sum types (aka tagged unions, discriminated unions, variants, or sometimes enums) are unavoidable as a software developer. If you've been writing code for any length of time, you
Keywords: action json object struct type
Find related items on AmazonPublished on: 2025-06-09 21:55:17
Make Ubuntu packages 90% faster by rebuilding them You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance. Setting I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is .features[] | sel
Keywords: geojson jq select tmp usr
Find related items on AmazonPublished on: 2025-07-05 00:14:33
A float walks into a gradual type system written by Ruud van Asseldonk published 2 March, 2025 I am building a new configuration language: RCL . It’s a gradually typed superset of json that extends json into a simple functional language that enables abstraction and reuse. Its main purpose is to generate json, yaml, and toml files, but it makes a pretty good json query tool too. Think jq, but without having to ask an LLM to write the query for you. While RCL supported integers early on, it was
Keywords: equality int json rcl type
Find related items on AmazonPublished on: 2025-07-07 00:01:59
Translate OpenAPI into LLM Tools The agents.json Specification is an open specification that formally describes contracts for API and agent interactions, built on top of the OpenAPI standard. The current version is 0.1.0 . Use the Wildcard Bridge Python package to load, parse, and run agents.json. Quickstart Use one of the quickstart notebooks to get started: Demos agents.json Specification The agents.json Specification is an open specification that formally describes contracts for API an
Keywords: agents api apis json openapi
Find related items on AmazonPublished on: 2025-07-07 21:53:20
Idea Build a JSON parser in c Instead of using by itself functions: attach functions to a struct and use these as methods make it C issue family free (segfaults, leaks, stack overflows, etc…) provide an ergonomic API Usage C 1 #include "json.h" 2 #include <stdlib.h> 3 4 int main ( void ) { 5 struct json json = json_new ( JSON ({ 6 "object" : {}, 7 "array" : [[]], 8 "atoms" : [ "string" , 0.1 , true , false , null ] 9 })); 10 struct json_value json_value = json. parse ( & json); 11 json_print
Keywords: assert cur json json_value struct
Find related items on AmazonPublished on: 2025-07-14 04:10:21
Recently, I needed to delete about 1,200 email messages to a particular destination from the mail queue on one of our systems. This turned out to be trivial, because this system was using Postfix and modern versions of Postfix can output mail queue status information in JSON format. So I could dump the mail queue status, select the relevant messages and print the queue IDs with jq , and feed this to Postfix to delete the messages. This experience has left me with the definite view that everythin
Keywords: format json machine output readable
Find related items on AmazonPublished on: 2025-07-11 05:49:29
OmniAI OCR Benchmark Using Structured Outputs to evaluate OCR accuracy Published Feb 20, 2025 Overview Are LLMs a total replacement for traditional OCR models? It's been an increasingly hot topic, especially with models like Gemini 2.0 becoming cost competitive with traditional OCR. To answer this, we run a benchmark evaluating OCR accuracy between traditional OCR providers and Vision Language Models. This is run with a wide variety of real world documents. Including all the complex, messy,
Keywords: accuracy benchmark gpt json ocr
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