Denis Wang wangyingang

Extracting financial disclosure reports and police blotter narratives using OpenAI's Structured Output

tl;dr this demo shows how to call OpenAI's gpt-4o-mini model, provide it with URL of a screenshot of a document, and extract data that follows a schema you define. The results are pretty solid even with little effort in defining the data — and no effort doing data prep. OpenAI's API could be a cost-efficient tool for large scale data gathering projects involving public documents.

OpenAI announced Structured Outputs for its API, a feature that allows users to specify the fields and schema of extracted data, and guarantees that the JSON output will follow that specification.

For example, given a Congressional financial disclosure report, with assets defined in a table like this:

PostgreSQL is Enough

Background and Cron Jobs

使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器，可查询各种类别的JavDB TOP250影片：

及分年数据（存在部分重复影片，原始数据的问题）：

⚠️ This is not maintained. Feel free to check comments and/or forks for more current options.

Background

This was created years ago; at the time I'd been a Shibboleth admin for nearly a decade but we needed something that could handle OIDC/OAuth and that explicitly supported OpenJDK. After a lot of investigation, I really liked Keycloak/Red Hat Single Sign-On. More details here: Gluu vs keycloack vs wso2 identity management

Comparison

(Items in bold indicate possible concerns)

Project Title

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Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Bash Shortcuts

Moving

command	description
ctrl + a	Goto BEGINNING of command line

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
Scaling Twitter: Making Twitter 10000 Percent Faster

	// same as your regular shadcn datatable implementation (which uses tanstack table)
	// note that the shadcn datatable uses shadcn table for the ui. see https://ui.shadcn.com/docs/components/data-table

	import {
	ColumnFiltersState,
	SortingState,
	VisibilityState,
	flexRender,
	getCoreRowModel,
	getFilteredRowModel,

	javascript: Promise.all([import('https://unpkg.com/[email protected]?module'), import('https://unpkg.com/@tehshrike/[email protected]'), ]).then(async ([{
	default: Turndown
	}, {
	default: Readability
	}]) => {

	/* Optional vault name */
	const vault = "";

	/* Optional folder name such as "Clippings/" */