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Appendix: Technical Details for ChatGPT App UI

A. Rendering model

Components render inside a sandboxed iframe managed by ChatGPT.
Your MCP tool returns data plus UI metadata that the Apps SDK interprets to mount your component.
The host injects a window.openai bridge into the iframe for props and events. ([OpenAI][1])

B. Component contract

FastAPI and Uvicorn Logging

When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.

Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.

Before overriding:

uvicorn main:app --reload

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

Brew Bundle Brewfile Tips

Copyright & License

Unless otherwise noted (either in this file or in a file's copyright section) the contents of this gist are Copyright ©️2020 by Christopher Allen, and are shared under spdx:Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.) open-source license.

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init.vim and settings.vim go under ~/.config/nvim Follow the installation instructions for https://github.com/junegunn/vim-plug and place plug.vim in ~/.config/nvim/autoload

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

Sublime-Style-Column-Selection
Enable Sublime style 'Column Selection'. Just hold 'alt' while you select, or select using your middle mouse button. Also similar to Texmate's 'Multiple Carets', or BBEdit's 'Block Select'

activate-power-mode
Activate POWER MODE to write your code in style.

atom-alignment
A simple key-binding for aligning multi-line and multiple selections in Atom (Based on the sublime text plugin)

atom-beautify

Git DMZ Flow

I've been asked a few times over the last few months to put together a full write-up of the Git workflow we use at RichRelevance (and at Precog before), since I have referenced it in passing quite a few times in tweets and in person. The workflow is appreciably different from GitFlow and its derivatives, and thus it brings with it a different set of tradeoffs and optimizations. To that end, it would probably be helpful to go over exactly what workflow benefits I find to be beneficial or even necessary.

Two developers working on independent features must never be blocked by each other
- No code freeze! Ever! For any reason!
A developer must be able to base derivative work on another developer's work, without waiting for any third party
Two developers working on inter-dependent features (or even the same feature) must be able to do so without interference from (or interfering with) any other parties
Developers must be able to work on multiple features simultaneously, or at lea

	<artifacts_info>
	The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

	# Good artifacts are...
	- Substantial content (>15 lines)
	- Content that the user is likely to modify, iterate on, or take ownership of
	- Self-contained, complex content that can be understood on its own, without context from the conversation
	- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
	- Content likely to be referenced or reused multiple times

	'use strict';
	var profiler = require('v8-profiler');
	profiler.startProfiling();

	// ...

	var cpuProfile = profiler.stopProfiling();
	require('fs').writeFileSync(__dirname + '/foo.cpuprofile', JSON.stringify(cpuProfile));