jungo araki junara

## SvgIcon.vue
<template>
  <svg
    :width="sizeValue"
    :height="sizeValue"
    :viewBox="viewboxValue"
  >
    <path :d="path" />
  </svg>
</template>

## database.yml
default: &default
  adapter: mysql2
  host: <%= ENV['MYSQL_HOST'] || '127.0.0.1' %>
  port: <%= ENV['MYSQL_PORT'] || 3306 %>
  pool: <%= ENV.fetch("RAILS_MAX_THREADS") { 5 } %>
  timeout: 5000

development:
  <<: *default
  database: <%= ENV['MYSQL_DATABASE'] || 'junara_annotate_development' %>

## 20210306_github_actions.md

      
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                junara
                / 20210306_github_actions.md
            
            
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              March 6, 2021 07:34
            
          
    目的


既存のRailsプロジェクトにrubocopを導入する
rubocopをチームで活用する・・・GitHub Actionsでrubocop自動でチェックする

概要


前準備
rubocop導入
GitHub Actionsでrubocop

前準備


## bulk_upserter.rb
class BulkUpserter
  attr_reader :scope, :on_duplicate_key_update, :raise_error, :validate, :batch_size, :reports, :error, :exit_on_error

  # activerecort-importのon_duplicate_key_updateを使いやすくしたもの
  # 使い方例
  # bulk_upserter = BulkUpserter.new(Blog.limit(100), {'Blog' => [:name], 'Comment' => [:name]})
  # bulk_upserter.run {|blog, instances| blog.assign_attributes(name: 'fuga') || instances.add(blog) || blog.comments.build(name: 'piyo') || instances.add(blog)}
  #
  # bulk_upserter.reports はactiverecord_importのreportの配列
  # => #<BulkUpserter::Reports:0x000055f74b08c4e0 @messages={:Blog=>[#<struct ActiveRecord::Import::Result failed_instances=[#<Blog id: 1, name: nil, edited_at: nil, created_at: "2019-11-23 07:17:30", updated_at: "2019-11-23 10:56:26">], num_inserts=0, ids=[], results=[]>], :Comment=>[#<struct ActiveRecord::Import::Result failed_instances=[], num_inserts=1, ids=[], results=[]>]}>

## InkbirdLoggerReadme.md

      
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                / InkbirdLoggerReadme.md
            
            
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              December 4, 2019 08:16
            
              
                IBS-TH1 のログを取得してAmbientとローカルCSVに出力する python script
              
          
    REF


https://qiita.com/bon_dentetsu/items/87ed6c65640b5ba11e5c
https://gist.github.com/onderweg/4e17a37cf00219e10645e6ff4fdcf65b


## file0.txt
gem install levenshtein

## keyword_prediction.rb
# USAGE
# keyword_prediction = KeywordPrediction.new
# keyword_prediction.path = './name2prefecture.csv' # set index data
# keyword_prediction.load # load index.csv
# keyword_prediction.predict('府中市') => [{"name"=>"府中市", "prefecture_name"=>"東京都", "similarity"=>1.0, "keyword"=>"府中市"}, {"name"=>"府中市", "prefecture_name"=>"広島県", "similarword"=>"府中市"}]

require 'csv'
require 'levenshtein'

class KeywordPrediction
	<template>
	<svg
	:width="sizeValue"
	:height="sizeValue"
	:viewBox="viewboxValue"
	>
	<path :d="path" />
	</svg>
	</template>
	default: &default
	adapter: mysql2
	host: <%= ENV['MYSQL_HOST'] \|\| '127.0.0.1' %>
	port: <%= ENV['MYSQL_PORT'] \|\| 3306 %>
	pool: <%= ENV.fetch("RAILS_MAX_THREADS") { 5 } %>
	timeout: 5000

	development:
	<<: *default
	database: <%= ENV['MYSQL_DATABASE'] \|\| 'junara_annotate_development' %>
	class BulkUpserter
	attr_reader :scope, :on_duplicate_key_update, :raise_error, :validate, :batch_size, :reports, :error, :exit_on_error

	# activerecort-importのon_duplicate_key_updateを使いやすくしたもの
	# 使い方例
	# bulk_upserter = BulkUpserter.new(Blog.limit(100), {'Blog' => [:name], 'Comment' => [:name]})
	# bulk_upserter.run {\|blog, instances\| blog.assign_attributes(name: 'fuga') \|\| instances.add(blog) \|\| blog.comments.build(name: 'piyo') \|\| instances.add(blog)}
	#
	# bulk_upserter.reports はactiverecord_importのreportの配列
	# => #<BulkUpserter::Reports:0x000055f74b08c4e0 @messages={:Blog=>[#<struct ActiveRecord::Import::Result failed_instances=[#<Blog id: 1, name: nil, edited_at: nil, created_at: "2019-11-23 07:17:30", updated_at: "2019-11-23 10:56:26">], num_inserts=0, ids=[], results=[]>], :Comment=>[#<struct ActiveRecord::Import::Result failed_instances=[], num_inserts=1, ids=[], results=[]>]}>
	# USAGE
	# keyword_prediction = KeywordPrediction.new
	# keyword_prediction.path = './name2prefecture.csv' # set index data
	# keyword_prediction.load # load index.csv
	# keyword_prediction.predict('府中市') => [{"name"=>"府中市", "prefecture_name"=>"東京都", "similarity"=>1.0, "keyword"=>"府中市"}, {"name"=>"府中市", "prefecture_name"=>"広島県", "similarword"=>"府中市"}]

	require 'csv'
	require 'levenshtein'

	class KeywordPrediction