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 list is not meant to be exhaustive and is not guaranteed to be maintained. See the comments for updates and alternative options.

(Items in bold indicate possible concerns)

	Keycloak	WSO2 Identity Server	Gluu	CAS	OpenAM	Shibboleth IdP
OpenID Connect/OAuth support	yes	yes	yes	yes	yes	yes
Multi-factor authentication	yes	yes	yes	yes	yes	yes
Admin UI	yes	yes	yes	yes	yes	no
OpenJDK support	yes	yes	partial²	yes

Project Title

One Paragraph of project description goes here

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/" */