$ npm install axios --save

// 学習classifier.learn('カテゴリーAに関する長文・・・・・','カテゴリーA')classifier.learn('カテゴリーBに関する長文・・・・・','カテゴリーB')classifier.learn('カテゴリーCに関する長文・・・・・','カテゴリーC')// 判定constcategory=classifier.categorize('カテゴリーを判定したい文章')

constsegmenter=newTinySegmenter()varclassifier=bayes({tokenizer:function(text){returnsegmenter.segment(text);}});

https://ja.wikipedia.org/wiki/特別:データ書き出し/キーワード

https://ja.wikipedia.org/wiki/特別:データ書き出し/源頼朝

https://ja.wikipedia.org/wiki/特別:データ書き出し/足利尊氏

https://ja.wikipedia.org/wiki/特別:データ書き出し/徳川家康

npm install bayes

npm install tiny-segmenter

$ node bayes-demo.js 
判定=[源頼朝] -- 日本で最初に幕府を開いた人物で、妻は尼将軍としても有名な北条政子である。
判定=[源頼朝] -- 後鳥羽天皇によって征夷大将軍に任ぜられた。
判定=[源頼朝] -- 奥州を平定した。
判定=[足利尊氏] -- 室町幕府を開いた。
判定=[足利尊氏] -- 鎌倉幕府の滅亡後、鎮守府将軍・左兵衛督に任ぜられた。
判定=[足利尊氏] -- 歌人としても知られる。
判定=[徳川家康] -- 幼少時代を人質として過ごした。
判定=[徳川家康] -- 室町幕府最後の将軍足利義昭が信長包囲網を企てたとき、協力要請を受けたがこれを無視した。

varbayes=require('bayes');constTinySegmenter=require('tiny-segmenter')constfs=require('fs')// 分かち書きの機能を使うためconstsegmenter=newTinySegmenter()// 学習用文章の読み込みvartxt_yoritomo=fs.readFileSync('yoritomo.txt','utf-8')vartxt_takauji=fs.readFileSync('takauji.txt','utf-8')vartxt_ieyasu=fs.readFileSync('ieyasu.txt','utf-8')// 分かち書き機能の設定varclassifier=bayes({tokenizer:function(text){returnsegmenter.segment(text);}});asyncfunctiondemo(){// 学習awaitclassifier.learn(txt_yoritomo,'源頼朝');awaitclassifier.learn(txt_takauji,'足利尊氏');awaitclassifier.learn(txt_ieyasu,'徳川家康');// 判定して結果を表示asyncfunctioncategorize(text){// 判定varr=awaitclassifier.categorize(text);console.log("判定=["+r+"] -- "+text);}// 文章のカテゴリーを判定する（分類する）categorize('日本で最初に幕府を開いた人物で、妻は尼将軍としても有名な北条政子である。');categorize('後鳥羽天皇によって征夷大将軍に任ぜられた。');categorize('奥州を平定した。');categorize('室町幕府を開いた。');categorize('鎌倉幕府の滅亡後、鎮守府将軍・左兵衛督に任ぜられた。');categorize('歌人としても知られる。');categorize('幼少時代を人質として過ごした。');categorize('室町幕府最後の将軍足利義昭が信長包囲網を企てたとき、協力要請を受けたがこれを無視した。');}demo()

/**
 * textがどのcategoryに対応しているか学習することで、ナイーブベイズ分類器を訓練する
 *
 * @param  {String} text
 * @param  {Promise<String>} class
 */Naivebayes.prototype.learn=asyncfunction(text,category){varself=this//はじめてのカテゴリの場合は、カテゴリのデータ構造を初期化するself.initializeCategory(category)//カテゴリにマップされたドキュメント数をカウントするself.docCount[category]++//学習したドキュメントの総数をカウントself.totalDocuments++//テキストを単語に分割して配列にするvartokens=awaitself.tokenizer(text)

//テキスト内の各トークンの頻度カウントを取得します。//get a frequency count for each token in the textvarfrequencyTable=self.frequencyTable(tokens)/*
      このカテゴリの語彙数と単語数を更新します。
      Update our vocabulary and our word frequency count for this category
   */Object.keys(frequencyTable).forEach(function(token){//この単語がない場合は、私たちの語彙に追加します。//add this word to our vocabulary if not already existingif(!self.vocabulary[token]){self.vocabulary[token]=trueself.vocabularySize++}varfrequencyInText=frequencyTable[token]//このカテゴリのこの単語の頻度情報を更新する//update the frequency information for this word in this categoryif(!self.wordFrequencyCount[category][token])self.wordFrequencyCount[category][token]=frequencyInTextelseself.wordFrequencyCount[category][token]+=frequencyInText//このカテゴリにマップされたすべての単語のカウントを更新します。//update the count of all words we have seen mapped to this categoryself.wordCount[category]+=frequencyInText})returnself}

/**
 * テキストがどのカテゴリに属するかを決定する
 *
 * @param  {String} text
 * @return {Promise<string>} category
 */Naivebayes.prototype.categorize=asyncfunction(text){varself=this,maxProbability=-Infinity,chosenCategory=nullvartokens=awaitself.tokenizer(text)varfrequencyTable=self.frequencyTable(tokens)//カテゴリを反復処理して、最も確率の高いカテゴリを求めるObject.keys(self.categories).forEach(function(category){// このカテゴリの全体的な確率を計算することから始める// => 学習したすべての文書のうち、このカテゴリのものはどれくらいあったかvarcategoryProbability=self.docCount[category]/self.totalDocuments//アンダーフロー対策に対数（log）を取るvarlogProbability=Math.log(categoryProbability)//テキスト中の各単語 `w` について P( w | c ) を決定するObject.keys(frequencyTable).forEach(function(token){varfrequencyInText=frequencyTable[token]vartokenProbability=self.tokenProbability(token,category)// console.log('token: %s category: `%s` tokenProbability: %d', token, category, tokenProbability)//この単語のP( w | c )の対数(log)を求めるlogProbability+=frequencyInText*Math.log(tokenProbability)})if(logProbability>maxProbability){maxProbability=logProbabilitychosenCategory=category}})returnchosenCategory}

name:Build and Deploy to EC2on:push:branches:-masterenv:SSH_PRIVATE_KEY:${{ secrets.EC2_KEY }}REMOTE_HOST:${{ secrets.EC2_HOST }}REMOTE_USER:${{ secrets.EC2_USER }}TARGET:${{ secrets.EC2_OUTPUT_DIR }}SOURCE:'public'SLACK_WEBHOOK:${{ secrets.SLACK_WEBHOOK_URL }}SLACK_CHANNEL:cijobs:build-and-deploy:name:Build and Deployruns-on:ubuntu-lateststeps:-uses:actions/checkout@v2-name:Use Node.js v12.18.3uses:actions/setup-node@v1with:node-version:'12.18.3'-name:Buildrun:|npm installnpm run build-name:Deploy to EC2uses:easingthemes/ssh-deploy@v2.1.1-name:Slack Notification on Successif:success()uses:rtCamp/action-slack-notify@v2.0.2env:SLACK_TITLE:Deploy SuccessSLACK_COLOR:good-name:Slack Notification on Failureif:failure()uses:rtCamp/action-slack-notify@v2.0.2env:SLACK_TITLE:Deploy FailureSLACK_COLOR:danger

# workflowの名前です。name:Build and Deploy to EC2# masterブランチにpushしたときのイベントをトリガーにしています。on:push:branches:-master

env:SSH_PRIVATE_KEY:${{ secrets.EC2_KEY }}REMOTE_HOST:${{ secrets.EC2_HOST }}REMOTE_USER:${{ secrets.EC2_USER }}TARGET:${{ secrets.EC2_OUTPUT_DIR }}# publicはビルドアーティファクトが出力されるディレクトリです。# このプロジェクトではWebpackを使って、静的アセットをpublicディレクトリに出力しています。SOURCE:'public'SLACK_WEBHOOK:${{ secrets.SLACK_WEBHOOK_URL }}SLACK_CHANNEL:ci

jobs:build-and-deploy:name:Build and Deployruns-on:ubuntu-lateststeps:-uses:actions/checkout@v2-name:Use Node.js v12.18.3uses:actions/setup-node@v1with:node-version:'12.18.3'-name:Buildrun:|npm installnpm run build-name:Deploy to EC2uses:easingthemes/ssh-deploy@v2.1.1-name:Slack Notification on Successif:success()uses:rtCamp/action-slack-notify@v2.0.2env:SLACK_TITLE:Deploy SuccessSLACK_COLOR:good-name:Slack Notification on Failureif:failure()uses:rtCamp/action-slack-notify@v2.0.2env:SLACK_TITLE:Deploy FailureSLACK_COLOR:danger

version:"3"services:node:image:node:14.10volumes:-.:/projecttty:trueworking_dir:/projectcommand:bash

constmain=()=>{console.log("hello node!");}main();

docker-compose up -d

nodejssample $ docker-compose up -d
Creating network "nodejssample_default" with the default driver
4f250268ed6a: Pull complete1b49aa113642: Pull complete
c159512f4cc2: Pull complete8439168fd8dc: Pull complete55abbc6cc158: Pull completee5c5821cd889: Pull complete5a7679f70bad: Pull completed827e86d1182: Pull complete2484b06a6da1: Pull complete
Digest: sha256:21658666c0eabc9006b279e826e540d20e2c835507347d9c2f3f7dd5820ec9e3
Status: Downloaded newer image for node:14.10
Creating nodejssample_node_1 ... done

root@df80b994d93d:/project# ls
app.js  docker-compose.yml
root@df80b994d93d:/project#   

root@df80b994d93d:/project# node -v
v14.10.1

root@df80b994d93d:/project# node app.js
hello node!

version:バージョン番号。services:サービス名:サービスの設定...

version:"3"# 最新版は3services:# ここは固定node:# なんでも良いが、nodeのイメージを使ってるのでそのままnodeというサービス名に。image:node:14.10volumes:-.:/projecttty:trueworking_dir:/projectcommand:bash

image:イメージ名:タグ名

volumes:-ローカルのフォルダのパス:コンテナのフォルダのパス

tty: true

1.私のウェブサイトに投稿した記事をTwitterのAPIを利用して、Twitterのタイムラインにも自動的に表示されるようにしたい。
2.Twitterのタイムラインに自動的に表示させるのは1日に1回程度です。
3.Twitter APIを利用しTwitterからのコンテンツを取得して、Twitter以外で表示させることはありません。

1.I want to make sure that articles posted on my website are automatically displayed on Twitter's timeline as well, using Twitter's API.
2.I would like to have an article automatically displayed on my Twitter timeline about once a day.
3. We do not use the Twitter API to retrieve content from Twitter and display it outside of Twitter.

1.私のウェブサイトに投稿した記事をTwitterのAPIを利用して、Twitterのタイムラインにも自動的に表示されるようにしたい。
2.Twitterのタイムラインに自動的に表示させるのは1日に1回程度です。

1.I want to make sure that articles posted on my website are automatically displayed on Twitter's timeline as well, using Twitter's API.
2.I would like to have an article automatically displayed on my Twitter timeline about once a day.

$ node -v
v14.9.0

$ yarn -v
1.22.4

$ mysql --version
mysql  Ver 8.0.19 for Linux on x86_64 (MySQL Community Server - GPL)

yarn init -y

yarn add typeorm
yarn add -D typescript ts-node

yarn add mysql

# PostgreSQL
yarn add pg

# SQLite
yarn add sqlite3

# Microsoft SQL Server
yarn add sql.js

# Oracle
yarn add oracledb

# MongoDB
yarn add mongodb

# Aurora Data API
yarn add typeorm-aurora-data-api-driver

yarn typeorm init

~
├── src
│   ├── entity
│   │   └── User.ts  // サンプルエンティティ
│   ├── migration    // マイグレーションファイルを置くところ
│   └── index.ts
├── .gitignore
├── ormconfig.json   // TypeORMの設定情報
├── package.json
├── README.md
└── tsconfig.json

{
   "type": "mysql",
   "host": "localhost",
   "port": 3306,
   "username": "test",
   "password": "test",
   "database": "test",
   "synchronize": false, // コネクションを生成時にエンティティを自動でマイグレーションするかどうか。
   "logging": false, // Trueにすると発行したSQLのログが見れます。パフォーマンスが若干悪くなるため、開発環境での利用を推奨します。
   "entities": [
      "src/entity/**/*.ts"
   ],
   "migrations": [
      "src/migration/**/*.ts"
   ],
   "subscribers": [
      "src/subscriber/**/*.ts"
   ],
   "cli": {
      "entitiesDir": "src/entity",
      "migrationsDir": "src/migration",
      "subscribersDir": "src/subscriber"
   }
}

import { Entity, PrimaryGeneratedColumn, Column } from "typeorm";

@Entity()
export class User {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  firstName: string;

  @Column()
  lastName: string;

  @Column()
  age: number;
}

yarn ts-node node_modules/.bin/typeorm migration:show

mysql> ALTER USER 'root' IDENTIFIED WITH mysql_native_password '<your-password>';
mysql> FLUSH PRIVILEGES;

query: SELECT * FROM `INFORMATION_SCHEMA`.`COLUMNS` WHERE `TABLE_SCHEMA`='test' AND `TABLE_NAME`='migrations'
query: SELECT * FROM `test`.`migrations``migrations` ORDER BY `id` DESC

yarn ts-node node_modules/.bin/typeorm migration:generate -n Test

import {MigrationInterface, QueryRunner} from "typeorm";

export class Test1599199531504 implements MigrationInterface {
    name = 'Test1599199531504'

    public async up(queryRunner: QueryRunner): Promise<void> {
        await queryRunner.query("CREATE TABLE `user` (`id` int NOT NULL AUTO_INCREMENT, `firstName` varchar(255) NOT NULL, `lastName` varchar(255) NOT NULL, `age` int NOT NULL, PRIMARY KEY (`id`)) ENGINE=InnoDB");
    }

    public async down(queryRunner: QueryRunner): Promise<void> {
        await queryRunner.query("DROP TABLE `user`");
    }

}

$ yarn ts-node node_modules/.bin/typeorm migration:run

---一部抜粋
0 migrations are already loaded in the database.
1 migrations were found in the source code.
1 migrations are new migrations that needs to be executed.

$ yarn ts-node node_modules/.bin/typeorm migration:show

---一部抜粋
 [X] Test1599199531504

yarn ts-node node_modules/.bin/typeorm migration:revert

14.10.1

enter_directory(){if[[$PWD==$PREV_PWD]];then
       return
     fi

     PREV_PWD=$PWD[[-f".nvmrc"]]&&current_node_ver=`cat .nvmrc`&& nvm use $current_node_ver}export PROMPT_COMMAND=enter_directory

$ cd ~/project
$ echo"14.10.1"> .nvmrc

$ cd ~
$ nvm use 10.22.0
Now using node v10.22.0 (64-bit)$ cd ~/project
Now using node v14.10.1 (64-bit)

letcachedDb=null;// handlerの外側に定義しておく。module.exports.handler=(event,context,callback)=>{if(!cachedDb){cachedDb=// ここでDBコネクションを作る。}// 以下略};

// 前略module.exports.handler=(event,context,callback)=>{context.callbackWaitsForEmptyEventLoop=false;// これ// 以下略};

import{Handler}from"aws-lambda";import*asawsServerlessExpressfrom"aws-serverless-express";// これは何らかの自前の実装。// この中で、MongoDBへのコネクション作成なども行っているという想定。よってasync関数。import{createAppAsync}from"./app";// createServerを呼んだ最終結果を代入しておくための変数を、handlerの外側で定義しておく。letserver:ReturnType<typeofawsServerlessExpress.createServer>;exportconsthandler:Handler=async(event,context)=>{// handlerをasyncにした例context.callbackWaitsForEmptyEventLoop=false;// セオリー通りにfalseif(!server){// Lambdaがコールドスタートしたときは、このif文の中に入る。constapp=awaitcreateAppAsync();// MongoDBに接続しつつ、Expressのappを作って・・・server=awsServerlessExpress.createServer(app);// AWS Serverless Expressに渡す。}// appをAWS Serverless Expressに渡したので、あとはよしなにやってもらうだけ。returnawsServerlessExpress.proxy(server,event,context,"PROMISE").promise;// 上記は、handlerがasyncの場合の呼び方。// 4番目の引数 "PROMISE" をつけたり、末尾に .promise をつけたりする。};

id, request_url

1, http://localhost:3000/user
2, http://localhost:3000/login
3, http://localhost:3000/company

1, https://api.subroq.com/user
2, https://api.subroq.com/login
3, https://api.subroq.com/company

seeders/
├── development
│   ├── 20200808080637-users.js
│   ├── 20200808101006-categories.js
│   ├── 20200808101050-questions.js
│   └── 20200911180200-validations.js
└── production
    ├── 20200808101006-categories.js
    ├── 20200808101050-questions.js
    └── 20200911180200-validations.js

NODE_ENV="development" node_modules/.bin/sequelize db:seed:all --seeders-path "seeders/production"

NODE_ENV="production" node_modules/.bin/sequelize db:seed:all --seeders-path "seeders/production"

curl -L git.io/nodebrew | perl - setup
echo'export PATH=$HOME/.nodebrew/current/bin:$PATH'>> ~/.bash_profile
source ~/.bash_profile
nodebrew install-binary stable
nodebrew use stable
node -v
v14.10.1

npm install socket.io
npm -v
6.14.8

varhttps=require('https');varfs=require('fs');varssl_server_key='server_key.pem';varssl_server_crt='server_crt.pem';varport=8443;varoptions={key:fs.readFileSync(ssl_server_key),cert:fs.readFileSync(ssl_server_crt)};

証明書: /etc/letsencrypt/live/ドメイン名/fullchain.pem
秘密鍵: /etc/letsencrypt/live/ドメイン名/privkey.pem

sudo node saver

<script src="https://planet-ape.net:5000/socket.io/socket.io.js"></script>

// サーバーに接続//var socket = io.connect(location.origin);varsocket=io.connect("https://planet-ape.net:5000");

{
    "total_grand": null,
    "total_billable": null,
    "total_currencies": [],
    "data": []
}

constaxios=require('axios')//create clientscreateClientsEndpoint='https://api.track.toggl.com/api/v8/clients'constpayload={client:{name:'テストクライアント株式会社',wid:'00000000'//自分のworkspaceidを設定}}axios.post(createClientsEndpoint,payload,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'//base64エンコーディングされたAPIトークン}}).then(res=>{console.log(res)}).catch(err=>{console.log(err)})

{
   "id":00000000,
   "wid":0000000,
   "name":"テストクライアント株式会社"
}

constaxios=require('axios')constfs=require('fs')const_=require('lodash')// get clients dataclientDataEndpoint='https://example.com/api/data/clients'constexmentToken=fs.readFileSync('./exment_tokens.txt');(async()=>{letclients=awaitaxios.get(clientDataEndpoint,{headers:{'Authorization':'Bearer '+JSON.parse(exmentToken).access_token}}).then(res=>{// console.log(res.data.data)returnres.data.data}).catch(err=>{console.log(err)})clients=_.map(clients,'value')clients=_.map(clients,'name')//create clientscreateClientsEndpoint='https://api.track.toggl.com/api/v8/clients'clients.forEach(item=>{constpayload={client:{name:item,wid:'4660619'}}axios.post(createClientsEndpoint,payload,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{console.log(res)}).catch(err=>{console.log(err)})})})()

constaxios=require('axios')constfs=require('fs')constprojectsDataEndpoint='https://example.com/api/data/projects'constexmentToken=fs.readFileSync('./exment_tokens.txt');(async()=>{letclients=awaitaxios.get(projectsDataEndpoint,{headers:{'Authorization':'Bearer '+JSON.parse(exmentToken).access_token}}).then(res=>{console.log(res.data.data)returnres.data.data}).catch(err=>{console.log(err)})})()

letexmentClientsArray=[]exmentClients.forEach(item=>{exmentClientsArray.push({id:item.id,name:item.value.name})})// console.log(exmentClientsArray)lettogglClients=awaitaxios.get(clientsDataTogglEndpoint,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{returnres.data})lettogglClientsArray=[]togglClients.forEach(item=>{togglClientsArray.push({id:item.id,name:item.name})})// console.log(togglClientsArray)letsymmetricClientsId=[]for(itemoftogglClientsArray){constexmentId=_.find(exmentClientsArray,{name:item.name}).id// console.log(exmentId)symmetricClientsId.push({togglId:item.id,exmentId:exmentId})}console.log(symmetricClientsId)

[{togglId:49984659,exmentId:7},{togglId:49984658,exmentId:8},{togglId:49984657,exmentId:6},{togglId:49984656,exmentId:3},{togglId:49984655,exmentId:5},{togglId:49984654,exmentId:4},{togglId:49984653,exmentId:2},{togglId:49984652,exmentId:1}]

projects=_.map(projects,'value')projects=_.filter(projects,{reliability:'6'})//　フラグ6、つまり受注のみ抽出letprojectsArray=[]projects.forEach(item=>{constname=item.nameconstexmentClientId=item.clientprojectsArray.push({name:name,client:exmentClientId})})letpayload=[]projectsArray.forEach(item=>{constname=item.nameconstcid=_.find(symmetricClientsId,{exmentId:Number(item.client)}).togglIdpayload.push({project:{name:name,cid:cid,wid:0000000}})})console.log(payload)

[{name:'xxxxxx 特設ページ、製品ページ制作',cid:49984654,wid:0000000},{name:'xxxxx　公式サイト制作',cid:49984659,wid:'4660619'},{name:'xxxxxx コーディングデザイン',cid:49984659,wid:0000000},]

constaxios=require('axios')constfs=require('fs')const_=require('lodash')constclientsDataEndpoint='https://example.com/api/data/clients'constclientsDataTogglEndpoint='https://api.track.toggl.com/api/v8/workspaces/0000000/clients'constprojectsDataEndpoint='https://example.com/api/data/projects'constprojectsCreateEndpoint='https://api.track.toggl.com/api/v8/projects'constexmentToken=fs.readFileSync('./exment_tokens.txt');(async()=>{letprojects=awaitaxios.get(projectsDataEndpoint,{headers:{'Authorization':'Bearer '+JSON.parse(exmentToken).access_token}}).then(res=>{// console.log(res.data.data)returnres.data.data}).catch(err=>{console.log(err)})letexmentClients=awaitaxios.get(clientsDataEndpoint,{headers:{'Authorization':'Bearer '+JSON.parse(exmentToken).access_token}}).then(res=>{returnres.data.data})letexmentClientsArray=[]exmentClients.forEach(item=>{exmentClientsArray.push({id:item.id,name:item.value.name})})// console.log(exmentClientsArray)lettogglClients=awaitaxios.get(clientsDataTogglEndpoint,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxx'}}).then(res=>{returnres.data})lettogglClientsArray=[]togglClients.forEach(item=>{togglClientsArray.push({id:item.id,name:item.name})})// console.log(togglClientsArray)letsymmetricClientsId=[]for(itemoftogglClientsArray){constexmentId=_.find(exmentClientsArray,{name:item.name}).id// console.log(exmentId)symmetricClientsId.push({togglId:item.id,exmentId:exmentId})}// console.log(symmetricClientsId)projects=_.map(projects,'value')projects=_.filter(projects,{reliability:'6'})//　フラグ6、つまり受注のみ抽出letprojectsArray=[]projects.forEach(item=>{constname=item.nameconstexmentClientId=item.clientprojectsArray.push({name:name,client:exmentClientId})})letpayload=[]projectsArray.forEach(item=>{constname=item.nameconstcid=_.find(symmetricClientsId,{exmentId:Number(item.client)}).togglIdpayload.push({project:{name:name,cid:cid,wid:0000000}})})// console.log(payload)payload.forEach(item=>{axios.post(projectsCreateEndpoint,item,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{console.log(res)}).catch(err=>{console.log(err)})})})()

constaxios=require('axios')//工数データを取得constendpoint='https://api.track.toggl.com/api/v8/time_entries'conststart_date_param=encodeURIComponent('2017-01-01T00:00:00+09:00')constend_date_param=encodeURIComponent('2020-09-14T00:00:00+09:00')constquery=`?start_date=${start_date_param}&end_date=${end_date_param}`axios.get(endpoint+query,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{console.log(res.data)}).catch(err=>{console.error(err)})

[{id:1688770474,guid:'15300aa902507be5d98a685ea9b9c121',wid:xxxxxxx,pid:163437641,billable:false,start:'2019-01-22T05:00:00+00:00',stop:'2019-01-22T07:00:00+00:00',duration:7200,description:'ホームページ講習会',duronly:false,at:'2020-09-11T09:56:05+00:00',uid:6121167},{id:1688769563,guid:'21ff64bea50aeb0f7c12b4d5178c4ba2',wid:xxxxxxx,pid:163437643,billable:false,start:'2019-05-22T12:00:00+00:00',stop:'2019-05-22T14:00:00+00:00',duration:7200,description:'コーディング修正',duronly:false,at:'2020-09-11T09:55:24+00:00',uid:6121167},{id:1690456743,guid:'3b297fdb6d01b00efd13ee46306b5121',wid:xxxxxxx,pid:163437646,billable:false,start:'2019-09-24T13:30:00+00:00',stop:'2019-09-24T14:00:00+00:00',duration:1800,description:'入稿作業',duronly:false,at:'2020-09-14T02:10:27+00:00',uid:6121167},]

constfs=require('fs')constaxios=require('axios')const_=require('lodash')constmoment=require('moment')//工数データを取得constexmentToken=JSON.parse(fs.readFileSync('./exment_tokens.txt')).access_tokenconsttogglEndpoint='https://api.track.toggl.com/api/v8/time_entries'conststart_date_param=encodeURIComponent('2017-01-01T00:00:00+09:00')constend_date_param=encodeURIComponent('2020-09-14T00:00:00+09:00')constquery=`?start_date=${start_date_param}&end_date=${end_date_param}`constexmentEndpoit='https://example.com/api/data/manhours'consttogglClientsEndpoint='https://api.track.toggl.com/api/v8/workspaces/4660619/clients'constexmentClientsEndpoint='https://example.com/api/data/clients'consttogglProjectsEndpoint='https://api.track.toggl.com/api/v8/workspaces/4660619/projects'constexmentProjectsEndpoint='https://example.com/api/data/projects/query-column?q=reliability eq 6'constexmentManhoursEndpoint='https://example.com/api/data/manhours/';(async()=>{letmanhours=awaitaxios.get(togglEndpoint+query,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{console.log(res.data)returnres.data}).catch(err=>{console.error(err)})lettogglClients=awaitaxios.get(togglClientsEndpoint,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{// console.log(res.data)returnres.data}).catch(err=>{console.err(err)})letexmentClients=awaitaxios.get(exmentClientsEndpoint,{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{// console.log(res.data)returnres.data.data}).catch(err=>{console.err(err)})letclientsArray=[]for(itemofexmentClients){constname=item.value.nameconstexmentId=item.idclientsArray.push({name:name,exmentId:exmentId})}for(itemofclientsArray){_.remove(clientsArray,obj=>obj.name==='取引停止')consttogglId=_.find(togglClients,{name:item.name}).id// console.log(togglId)if(togglId){item.togglId=togglId}}// TogglとExmentの案件情報を取得lettogglProjects=awaitaxios.get(togglProjectsEndpoint,{headers:{'Authorization':'Basic xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}}).then(res=>{// console.log(res.data)returnres.data}).catch(err=>{console.error(err)})letexmentProjects=awaitaxios.get(exmentProjectsEndpoint,{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{// console.log(res.data.data)returnres.data.data}).catch(err=>{console.error(err)})letprojectsArray=[]for(itemofexmentProjects){constname=item.value.nameconstexmentId=item.idconsttogglId=_.find(togglProjects,{name:item.value.name}).idprojectsArray.push({name:name,exmentId:exmentId,togglId:togglId,exmentClientId:Number(item.value.client)})}letpayload=[]manhours.forEach(item=>{payload.push({value:{work_title:item.description,user:1,// 今回は自分なのでハードコーディング。複数名いる場合は、ユーザーの紐づけデータも作ってくださいstart_at:String(moment(item.start).format('YYYY-MM-DD HH:mm:ss')),end_at:String(moment(item.stop).format('YYYY-MM-DD HH:mm:ss')),duration:item.duration,project:String(_.find(projectsArray,{togglId:item.pid}).exmentId),client:String(_.find(projectsArray,{togglId:item.pid}).exmentClientId)}})})// console.log(payload)awaitaxios.post(exmentManhoursEndpoint,{data:payload},{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{// console.log(res.data)}).catch(err=>{console.error(err.response.data.errors)})})()

npm i express pug

constexpress=require('express')constapp=express()constfs=require('fs')constaxios=require('axios')const_=require('lodash')constmoment=require('moment')require('moment-duration-format')app.set('view engine','pug')// Pugの設定letgraph='';(async()=>{constexmentToken=JSON.parse(awaitfs.readFileSync('./exment_tokens.txt')).access_tokenletprojectsData=awaitaxios.get('https://example.com/api/data/projects/query-column?q=reliability eq 6',{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{returnres.data.data}).catch(err=>{console.error(err)})letclientsData=awaitaxios.get('https://example.com/api/data/clients',{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{returnres.data.data}).catch(err=>{console.error(err)})letclientsArray=[]clientsData.forEach(item=>{clientsArray.push({id:item.id,name:item.value.name})})letmanhoursData=awaitaxios.get('https://example.com/api/data/manhours',{headers:{'Authorization':'Bearer '+exmentToken}}).then(res=>{returnres.data.data}).catch(err=>{console.error(err)})constuser=awaitaxios.get('https://example.com/api/data/user/query-column?q=id eq 1',{// 自分の給与単価を抽出するため、IDはハードコーディング// 複数ユーザーがいる場合は、別途給与テーブルのオブジェクトを作る必要ありheaders:{'Authorization':'Bearer '+exmentToken}}).then(res=>{returnres.data.data}).catch(err=>{console.error(err)})constsaraly=user[0].value.saraly// console.log(saraly)letprojectsArray=[]projectsData.forEach(item=>{constid=item.idconsttitle=item.value.nameconstamount=item.value.amountconstclient=_.find(clientsArray,{id:Number(item.value.client)}).nameconstmanhour=()=>{lettotal=_.filter(_.map(manhoursData,'value'),{project:String(item.id)})// console.log(total)total=_.sumBy(total,'duration')returnmoment.duration(total,'s').asHours()*saraly}projectsArray.push({id:id,title:title,client:client,amount:Number(amount),manhourTotal:manhour()})})// console.log(manhoursData)// console.log(projectsArray)letgraphProjectName=['案件名']for(itemofprojectsArray){graphProjectName.push(item.title+'/'+item.client)}letgraphAmounts=['受注金額']for(itemofprojectsArray){graphAmounts.push(item.amount)}letgraphManhours=['制作原価']for(itemofprojectsArray){graphManhours.push(item.manhourTotal)}constgraphData={types:{'受注金額':'bar','制作原価':'bar'},columns:[graphAmounts,graphManhours,graphProjectName,],colors:{'受注金額':'#f44336','制作原価':'#03a9f4'},x:'案件名'}console.log(graphData)graph=JSON.stringify(graphData)})()app.get('/',(req,res)=>{res.render('index',{graph})})app.listen(3000);

<!DOCTYPE html>
html(lang="ja")
  head
    meta(charset="UTF-8")
    meta(name="viewport", content="width=device-width, initial-scale=1.0")
    title 制作原価採算分岐
    .
      <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.7.20/c3.min.css" integrity="sha512-cznfNokevSG7QPA5dZepud8taylLdvgr0lDqw/FEZIhluFsSwyvS81CMnRdrNSKwbsmc43LtRd2/WMQV+Z85AQ==" crossorigin="anonymous" />
  body
    h1 制作原価採算分岐
    p: strong 赤字に注意！
    #chart
    .
      <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.15.1/d3.min.js" integrity="sha512-VcfmBa1zrzVT5htmBM63lMjDtqe4SAcxAlVLpQmBpUoO9beX5iNTKLGRWDuJ5F37jJZotqq65u00EZSVhJuikw==" crossorigin="anonymous"></script>
      <script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.7.20/c3.min.js" integrity="sha512-+IpCthlNahOuERYUSnKFjzjdKXIbJ/7Dd6xvUp+7bEw0Jp2dg6tluyxLs+zq9BMzZgrLv8886T4cBSqnKiVgUw==" crossorigin="anonymous"></script>
    script.
      var chart = c3.generate({
        bindto: '#chart',
        size: {
            height: 800,
            width: 1200,
        },
        padding: {
          top: 20, right: 50, bottom: 20, left: 70
        },
        data: !{ graph },
        axis: {
          rotated: true,
          x: {
            type: 'category',
          },
          y: {
            tick: {
              format: function (d) { return new Intl.NumberFormat("ja").format(d); }書式
            },
          }
        },
        legend: {
          position: 'right'
        },
      });

$ npm install-g https://github.com/uedayou/imi-enrichment-address-plus/releases/download/v1.1.2/imi-enrichment-address-plus-1.1.2.tgz

$ imi-enrichment-address-plus -s永田町

$ imi-enrichment-address-plus -s永田町 --old

{"@context":"https://imi.go.jp/ns/core/context.jsonld","場所":[{"@type":"場所型","住所":[{"@type":"住所型","種別":"歴史地名データ","ID":"10033625","町名":"永田町","説明":"「大日本地名辞書」6巻 274頁","都道府県":"武蔵","都道府県コード":"594","市区町村":"麹町区","市区町村コード":"797"},{"@type":"住所型","表記":"東京都千代田区永田町一丁目","都道府県":"東京都","都道府県コード":"http://data.e-stat.go.jp/lod/sac/C13000","市区町村":"千代田区","市区町村コード":"http://data.e-stat.go.jp/lod/sac/C13101","町名":"永田町","丁目":"1","種別":"位置参照情報"}],"地理座標":[{"@type":"座標型","緯度":"35.676388","経度":"139.746388"}]},...]}

$ imi-enrichment-address-plus --lat 35.675551 --lng 139.750413

$ imi-enrichment-address-plus --lat 35.675551 --lng 139.750413 --old

constrequest=require('request');constURL_INSTAGRAM_API='https://graph.facebook.com/v8.0/';constINSTAGRAM_USERID=process.env.INSTAGRAM_USERID;constINSTAGRAM_APP_TOKEN=process.env.INSTAGRAM_APP_TOKEN;constINSTAGRAM_APP_OEMBED_TOKEN=process.env.INSTAGRAM_APP_OEMBED_TOKEN;constURL_INSTAGRAM_POSTS=URL_INSTAGRAM_API+INSTAGRAM_USERID+'?fields=name,media.limit(99){caption,like_count,media_url,permalink,timestamp,username,comments_count}&access_token='+INSTAGRAM_APP_TOKEN;constURL_INSTAGRAM_OEMBED=URL_INSTAGRAM_API+'instagram_oembed?fields=html,thumbnail_width,type,width&access_token='+INSTAGRAM_APP_OEMBED_TOKEN+'&url=';varget_instagram_options_base={url:'',method:'GET',json:true};varhtml_data=[];varget_instagram_options_1=get_instagram_options_base;get_instagram_options_1.url=URL_INSTAGRAM_POSTS;request(get_instagram_options_1,function(error,response,posts){varurl_list=[];posts.media.data.forEach(data=>{url_list.push(data.permalink);});// console.log(url_list);urlToHtml_OEmbed(url_list,function(){console.log(html_data);return;});});functionurlToHtml_OEmbed(urls,callback){if(urls.length==0){returncallback();}else{leturl=urls.shift();varget_instagram_options_2=get_instagram_options_base;get_instagram_options_2.url=URL_INSTAGRAM_OEMBED+url;request(get_instagram_options_2,function(error,response,oembed){html_data.push(oembed.html);// console.log(urls.length);urlToHtml_OEmbed(urls,callback);});}}

% export INSTAGRAM_USERID=XXXXXXXX
% export INSTAGRAM_APP_TOKEN=XXXXXXXX
% export INSTAGRAM_APP_OEMBED_TOKEN=XXXXXXXX
% node batch_instagram.js
[
  '<blockquote class="instagram-media" data-instgrm-captioned data-instgrm-permalink="https://www.instagram.com/p/CEhFobmnEnM/?utm_source=ig_embed&amp;utm_campaign=loading" data-instgrm-version="12" style=" background:#FFF; border:0; border-radius:3px; box-shadow:0 0 1px 0 rgba(0,0,0,0.5),0 1px 10px 0 rgba(0,0,0,0.15); margin: 1px; max-width:658px; min-width:326px; padding:0; width:99.375%; width:-webkit-calc(100% - 2px); width:calc(100% - 2px);"><div style="padding:16px;"> <a href="https://www.instagram.com/p/CEhFobmnEnM/?utm_source=ig_embed&amp;utm_campaign=loading" style=" background:#FFFFFF; line-height:0; padding:0 0; text-align:center; text-decoration:none; width:100%;" target="_blank"> <div style=" display: flex; flex-direction: row; align-items: center;"> <div style="background-color: #F4F4F4; border-radius: 50%; flex-grow: 0; height: 40px; margin-right: 14px; width: 40px;"></div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center;"> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 100px;"></div> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; width: 60px;"></div></div></div><div style="padding: 19% 0;"></div> <div style="display:block; height:50px; margin:0 auto 12px; width:50px;"><svg width="50px" height="50px" viewBox="0 0 60 60" version="1.1" xmlns="https://www.w3.org/2000/svg" xmlns:xlink="https://www.w3.org/1999/xlink"><g stroke="none" stroke-width="1" fill="none" fill-rule="evenodd"><g transform="translate(-511.000000, -20.000000)" fill="#000000"><g><path d="M556.869,30.41 C554.814,30.41 553.148,32.076 553.148,34.131 C553.148,36.186 554.814,37.852 556.869,37.852 C558.924,37.852 560.59,36.186 560.59,34.131 C560.59,32.076 558.924,30.41 556.869,30.41 M541,60.657 C535.114,60.657 530.342,55.887 530.342,50 C530.342,44.114 535.114,39.342 541,39.342 C546.887,39.342 551.658,44.114 551.658,50 C551.658,55.887 546.887,60.657 541,60.657 M541,33.886 C532.1,33.886 524.886,41.1 524.886,50 C524.886,58.899 532.1,66.113 541,66.113 C549.9,66.113 557.115,58.899 557.115,50 C557.115,41.1 549.9,33.886 541,33.886 M565.378,62.101 C565.244,65.022 564.756,66.606 564.346,67.663 C563.803,69.06 

〜（中略）〜

utm_source=ig_embed&amp;utm_campaign=loading" style=" color:#c9c8cd; font-family:Arial,sans-serif; font-size:14px; font-style:normal; font-weight:normal; line-height:17px;" target="_blank"> ma sa</a> (@mamemame_s) on <time style=" font-family:Arial,sans-serif; font-size:14px; line-height:17px;" datetime="2016-08-13T10:54:00+00:00">Aug 13, 2016 at 3:54am PDT</time></p></div></blockquote>\n' +
    '<script async src="//platform.instagram.com/en_US/embeds.js"></script>'
]

const express = require('express')
const bodyParser = require('body-parser')

// ... app code here

const expressApp = express().use(bodyParser.json())

expressApp.post('/fulfillment', app)

expressApp.listen(3000)

npm install
npm install actions-on-google

/smarthome:post:x-swagger-router-controller:routingoperationId:smarthomeparameters:-in:bodyname:bodyschema:$ref:"#/definitions/CommonRequest"responses:200:description:Successschema:$ref:"#/definitions/CommonResponse"/reportstate:post:x-swagger-router-controller:routingoperationId:smarthome_reportstateparameters:-in:bodyname:bodyschema:$ref:"#/definitions/CommonRequest"responses:200:description:Successschema:$ref:"#/definitions/CommonResponse"

constfunc_table={//  "test-func" : require('./test_func').handler,//  "test-dialogflow" : require('./test_dialogflow').fulfillment,"smarthome_reportstate":require('./smarthome').handler,};・・・constexpress_table={//  "test-express": require('./test-express').handler,"smarthome":require('./smarthome').fulfillment,};

'use strict';constHELPER_BASE=process.env.HELPER_BASE||'../../helpers/';constResponse=require(HELPER_BASE+'response');constJWT_FILE_PATH=process.env.JWT_FILE_PATH||'【サービスアカウントキーファイル名】';constDEVICE_ADDRESS='【ESP32のIPアドレス】';constDEVICE_PORT=3333;// UDP受信するポート番号constdgram=require('dgram');constudp=dgram.createSocket('udp4');constjwt_decode=require('jwt-decode');const{smarthome}=require('actions-on-google');constjwt=require(JWT_FILE_PATH);constapp=smarthome({jwt:jwt});varstates_switch={on:false};varrequestId=0;constDEFAULT_USER_ID=process.env.DEFAULT_USER_ID||"user01";varagentUserId=DEFAULT_USER_ID;executeDevice('query');app.onSync((body,headers)=>{console.info('onSync');console.log('onSync body',body);vardecoded=jwt_decode(headers.authorization);console.log(decoded);varresult={requestId:body.requestId,payload:{agentUserId:agentUserId,devices:[{id:'switch',type:'action.devices.types.SWITCH',traits:['action.devices.traits.OnOff',],name:{defaultNames:['MyHome Switch'],name:'スイッチ',},deviceInfo:{manufacturer:'MyHome Devices',},willReportState:true,},],},};executeDevice('query');console.log("onSync result",result);returnresult;});app.onQuery(async(body,headers)=>{console.info('onQuery');console.log('onQuery body',body);vardecoded=jwt_decode(headers.authorization);console.log(decoded);const{requestId}=body;constpayload={devices:{}};for(vari=0;i<body.inputs.length;i++){if(body.inputs[i].intent=='action.devices.QUERY'){for(varj=0;j<body.inputs[i].payload.devices.length;j++){vardevice=body.inputs[i].payload.devices[j];if(device.id=='switch'){payload.devices.switch={on:states_switch.on,online:true,status:"SUCCESS"};}else{console.log('not supported');}}}}varresult={requestId:requestId,payload:payload,};console.log("onQuery result",result);returnresult;});app.onExecute(async(body,headers)=>{console.info('onExecute');console.log('onExecute body',body);vardecoded=jwt_decode(headers.authorization);console.log(decoded);const{requestId}=body;// Execution results are grouped by statusvarret={requestId:requestId,payload:{commands:[],},};for(vari=0;i<body.inputs.length;i++){if(body.inputs[i].intent=="action.devices.EXECUTE"){for(varj=0;j<body.inputs[i].payload.commands.length;j++){varresult={ids:[],status:'SUCCESS',};ret.payload.commands.push(result);vardevices=body.inputs[i].payload.commands[j].devices;varexecution=body.inputs[i].payload.commands[j].execution;for(vark=0;k<execution.length;k++){if(execution[k].command=="action.devices.commands.OnOff"){for(varl=0;l<devices.length;l++){if(devices[l].id=="switch"){result.ids.push(devices[l].id);states_switch.on=execution[k].params.on;awaitexecuteDevice(devices[l].id);awaitreportState(devices[l].id);}}}}}}}console.log("onExecute result",ret);returnret;});app.onDisconnect((body,headers)=>{console.info('onDisconnect');console.log('body',body);vardecoded=jwt_decode(headers.authorization);console.log(decoded);// Return empty responsereturn{};});exports.fulfillment=app;asyncfunctionexecuteDevice(id){varmessage;if(id=='switch'){message={id:id,onoff:states_switch.on,};}elseif(id=='query'){message={id:'query'};}else{throw'unknown id';}vardata=Buffer.from(JSON.stringify(message));returnnewPromise((resolve,reject)=>{udp.send(data,0,data.length,DEVICE_PORT,DEVICE_ADDRESS,(error,bytes)=>{if(error){console.error(error);returnreject(error);}resolve(bytes);});});}asyncfunctionreportState(id){varstate;if(id=='switch'){state={requestId:String(++requestId),agentUserId:agentUserId,payload:{devices:{states:{[id]:{on:states_switch.on}}}}};}else{throw'unknown id';}console.log("reportstate",state);awaitapp.reportState(state);returnstate;}exports.handler=async(event,context,callback)=>{varbody=JSON.parse(event.body);console.log(body);if(event.path=='/reportstate'){try{if(body.id=='switch'){states_switch.on=body.onoff;}varres=awaitreportState(body.id);console.log(res);returnnewResponse({message:'OK'});}catch(error){console.error(error);varresponse=newResponse();response.set_error(error);returnresponse;}}};