Bogdan Gusiev bogdan

Contribution to Ruby on Rails

ActiveRecord querying & preloading — refactored the preloader for performance, fixed duplicate record handling, implemented pluck, and improved #last to leverage SQL-level ordering.
Association handling — fixed counter cache calculation bugs, foreign key replacement in inverse associations, and collection association creation methods.
ActiveSupport callbacks — extensively refactored the callback system, removing dead code, deprecating legacy options, and simplifying/optimizing logic.

Overall focus: code quality, performance, and bug fixes rather than new feature work.

What changed:

Renamed two Token#token_type values for clarity: word → japanese_word and foreign → latin_word.
Added SuikaTokenizer.join(tokens), a shared helper that reconstructs text from tokens correctly instead of naively joining with a fixed separator. It only inserts a space between two consecutive "space-delimited" tokens (Latin words, abbreviations, and numbers) — Japanese tokens never get a space.
Wired Meeting#utterances and ReviewWorkflow#phi_review_data to use this new helper instead of tokens.map(&:text).join(" ").
Updated the token test factory to auto-classify token_type from text via the real tokenizer instead of hardcoding a default.

Token(s)	Reading	Context	Assessment
鈴木	Suzuki	鈴木さんこんにちは	Patient surname — PHI
さん	-san	suffix after 鈴木	Honorific — not PHI
鈴木一郎	Suzuki Ichiro	鈴木一郎と言います (my name is Suzuki Ichiro)	Patient full name — PHI
1989 年の 10 月 15 日	October 15, 1989	生まれです (born on)	Patient DOB — PHI, but の, 年, 月, 日 are grammatical particles/units
島田	Shimada	島田先生	Doctor's surname — debatable (provider name)
先生	sensei/doctor	title after 島田	Title only — not PHI

Variants for handling third-party faces that appear in recorded video segments.

Remove the time range entirely from the final export.

	#!/usr/bin/env ruby

	require_relative "../config/environment"

	def rss_kb
	`ps -o rss= -p #{Process.pid}`.to_i
	end

	$measure_depth = 0

	#!/usr/bin/env ruby
	# frozen_string_literal: true

	# Speech-to-Text v2 diarization test (chirp_3 model, Japanese by default).
	#
	# KEY FINDING: chirp_3 + diarizationConfig only works in the "us" multi-region.
	# It is rejected everywhere else tested (global, us-central1, europe-west4,
	# asia-southeast1, europe-west3) with either "model does not exist" or
	# "Permission denied ... It is no longer generally available." Only the
	# "us" multi-region endpoint accepts it, and only via the async

	# syntax=docker/dockerfile:1
	# check=error=true;skip=SecretsUsedInArgOrEnv

	# This Dockerfile is designed for production, not development. Use with Kamal or build'n'run by hand:
	# docker build -t realphotos_marketplace .
	# docker run -d -p 80:80 -e RAILS_MASTER_KEY=<value from config/master.key> --name realphotos_marketplace realphotos_marketplace

	# For a containerized dev environment, see Dev Containers: https://guides.rubyonrails.org/getting_started_with_devcontainer.html

	# Make sure RUBY_VERSION matches the Ruby version in .ruby-version

	steps:
	# Pull cache images for both build stage and final image (ignore failure on first run)
	- id: "pull-cache"
	name: "gcr.io/cloud-builders/docker"
	entrypoint: /bin/bash
	args:
	- -c
	- \|
	docker pull ${_IMAGE_NAME}:build-cache \|\| true && \
	docker pull ${_IMAGE_NAME}:latest \|\| true


	require 'open3'
	require 'json'

	module InsightFace
	SCRIPT = Rails.root.join("bin/insightface").to_s
	CMD = if Rails.env.production?
	["/app/.heroku/python/bin/python3", SCRIPT]
	else
	["uv", "run", SCRIPT]

	#!/usr/bin/env python3
	"""
	Face detection via InsightFace (ONNX-based, no TensorFlow).

	Usage:
	bin/insightface <image_path>
	cat image.jpg \| bin/insightface

	Outputs detected faces as JSON to stdout (same schema as bin/retinaface).