npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

array-to-google-sheets

v2.1.9

Published

Update a 2 dimensional Array to Google Sheets (Spreadsheets). Written in Typescript. Support generating formula with ease.

Downloads

87

Readme

Array To Google Sheets

NPM version build status Test coverage David deps

Update a 2 dimensional array into Google Sheets (Spreadsheets). You can also get back data in array or csv. The library is build with Google Sheets API v4.

Features

  • Tested with huge amount of data (10000 rows x 100 columns) and optimized memory usage.
  • Support generating formula
    • {formula: '=sum(%1:%2)', cells: [{row: 1, col: 1}, {row: 1, col: 3}]}
    • equivalent to =sum(A1:C1)
  • Get Spreadsheets data in array or csv format
  • Can handle multiple sheet
  • Can update single row and single
  • An experiment feature of converting the sheet as array object

Usage

import {ArrayToGoogleSheets, IUpdateOptions} from "array-to-google-sheets"; // typescript

async function simple() {
  const googleSheets = new ArrayToGoogleSheets({keyFilename: "serviceAccount.json"});
  // https://docs.google.com/spreadsheets/d/[ID]
  const spreadsheet = await googleSheets.getSpreadsheet("ID");
  await spreadsheet.updateSheet("sheetName", [[1, 2, 3]]);
}

async function auth() {
  // https://www.npmjs.com/package/google-auth-library
  const googleSheets1 = new ArrayToGoogleSheets({keyFilename: "serviceAccount.json"});
  const googleSheets2 = new ArrayToGoogleSheets({credentials: {client_email: "", private_key: ""}});

  // oauth
  const googleSheets3 = new ArrayToGoogleSheets({oAuthCredentials: {access_token: ""}});
  const googleSheets4 = new ArrayToGoogleSheets({oAuthCredentials: {refresh_token: ""}, oauthClientOptions: {clientId: "", clientSecret: ""}});
}

async function advance() {
  const spreadsheetId = "";
  const googleSheets = new ArrayToGoogleSheets({keyFilename: "serviceAccount.json"});
  const spreadsheet = await googleSheets.getSpreadsheet(spreadsheetId);
  const {spreadsheetUrl, properties} = spreadsheet;
  const {title, locale, timeZone, defaultFormat} = properties;

  // find and delete
  const sheetName = "sheetName";
  const sheet = await spreadsheet.findSheet(sheetName);
  if (sheet) {
    const result = await sheet.delete();
  }

  // get sheet again
  const newSheet = await spreadsheet.findOrCreateSheet(sheetName);
  const url = newSheet.getUrl();

  //  update
  const values1 = [
    [1, 2, 3],
    [1.1, 2.2, -3.33],
    ["abc", "cde", "xyz"],
  ];
  const updateOptions: IUpdateOptions = {
    minRow: 3, // styling
    minColumn: 3, // styling
    margin: 2,  // styling
    fitToSize: true,  // remove empty cells
    clearAllValues: true, // clear all existing values
  };
  const updateResult1 = await newSheet.update(values1, updateOptions);
  const resultValues1 = await newSheet.getValues();

  // export into csv
  await newSheet.exportAsCsv("data.csv");
}

async function updateRowsAndCells() {
  // expand the sheet size first if u have many rows
  const googleSheets = new ArrayToGoogleSheets({keyFilename: "serviceAccount.json"});
  const spreadsheet = await googleSheets.getSpreadsheet("spreadsheetId");
  const sheet = await spreadsheet.findOrCreateSheet("sheetName");

  // we have to make sure we have enough grids
  await sheet.resize(10, 10);

  for (let i = 0; i < 10; i++) {
    await sheet.updateRow(i, [1, 2, 3]);
    await sheet.updateCell(i, i, 1);
  }
}

spreadsheetId

Every Google Sheets has a unique key in the URL https://docs.google.com/spreadsheets/d/{spreadsheetId}/

KeyFilename / Service Account

  • Create a Google Cloud Project
  • Create Service Account
    • Service account details > Choose any service account name > CREATE
    • Grant this service account access to project > CONTINUE
    • Grant users access to this service account ( > CREATE KEY
    • Save the key file into your project
  • Enable Drive API & Google Sheets API
    • APIs and Services > Enable APIS AND SERVICES
    • Search Google Drive API > Enable
    • Search Google Sheets API > Enable
  • Enable Google Sheets API
  • Open the JSON key file, you will find an email [email protected].
  • Go to your Google Spreadsheets and shared the edit permission to the email address.

Formula Example

let values = [
    [{formula: '=sum(%1:%2)', cells: [{row: 1, col: 1}, {row: 1, col: 3}]}], 
    // =sum(A1:C1)
    [{formula: '=%1/50', cells: [{row: 1, col: 3}]}], 
    // =C1/50
    [{formula: '=sum(%1:%2)', cells: [{row: 'this', col: 1}, {row: 'this', col: 3}]}], 
    // =sum(A3:C3)
    [{formula: '=sum(%1:%2)', cells: [{row: 1, col: 'this'}, {row: 3, col: 'this'}]}],
     // =sum(A1:A3);
    [{formula: '=sum(%1:%2)', cells: [{row: 1, col: 0}, {row: 1, col: 0}]}], 
    // =sum(1:1);
    [{formula: '=sum(%1:%2)', cells: [{row: 1}, {row: 1}]}], 
    // =sum(1:1);
    [{formula: '=sum(%1:%2)', cells: [{row: 0, col: 2}, {row: 0, col: 2}]}] 
    // =sum(B:B);
];

Experiment Object Sheet Feature

async function experimentalObjectSheet() {
    const googleSheets = new ArrayToGoogleSheets({keyFilename: "serviceAccount.json"});
    const spreadsheet = await googleSheets.getSpreadsheet("spreadsheetId");
    const sheet = await spreadsheet.findOrCreateSheet("sheetName");

    const values = [
        ["value1", "value2/string", "value3/number", "value4/boolean", "value5/date", "value6/number[]", "value7/string[]", "value8/ignore"],
        ["1", "2", "3", "4", "5", "6", "7", "8", "9"],
        [1, 2, 3, 4, 5, 6, 7, 8, 9],
        ["a", "b", "c", "d", "e", "f", "g", "h", "i"],
    ];
    await sheet.update(values, {clearAllValues: true, margin: 2});

    type IObject = {value1: string; value2: string; value3: number; value4: boolean; value5: Date; value6: number[]; value7: string[]};
    const objectSheet = await sheet.exportAsObjectSheet<IObject>();
    const type = objectSheet.getType();

    // this can print the type IObject
    console.log("typescript", type);

    // get data as object
    for (let i = 0; i < objectSheet.length; i++) {
        const item = objectSheet.get(i);
        item.value1 = "key" + i;
        item.value2 = "value" + i;
        item.value3 = Math.random();
        item.value4 = true;
        item.value5 = new Date();
        item.value6 = [i, 1, 2, Math.random()];
        item.value7 = [i.toString(), "a", "b", "c"];
        await item.save();
    }
}

| value1 | value2/string | value3/number | value4/boolean | value5/date | value6/number[] | value7/string[] | value8/ignore | | ------ | ------------- | ------------- | -------------- | ----------- | --------------- | --------------- | ------------- | | key0 | value0 | 0.7238840059 | TRUE | 2020-03-03T05:41:02.926Z | 0, 1, 2, 0.865| 0, a, b, c | 8 | | key1 | value1 | 0.2963643265 | FALSE | 2020-03-03T05:41:03.149Z | 1, 1, 2, 0.995| 1, a, b, c | 8 |

The above table will be converted as:


async function sheetObject() {
    interface IObject {value1: string; value2: string; value3: number; value4: boolean; value5: Date; value6: number[]; value7: string[];}
    const objectSheet = await sheet.exportAsObjectSheet<IObject>();
    // generate the above IObject 
    const objectInterface = objectSheet.getInterface();
    const {headers, size, rawValues, rawHeaders} = objectSheet;
    const firstItem = objectSheet.get(0);

    // iterator
    for (const item of objectSheet) {
        console.log(item.toObject());
        item.value1 = "new Value";
        // this will only update the changed cell values to minimize modifing the original values as much as possible
        await item.save();
    }

   const findItem = objectSheet.toArray().find(x => x.value1 === "key");
    const objects = objectSheet.toObjects();
    
    // add new item
    const newItem = await objectSheet.append({} as any);
    // you have to manage the sheet size yourself in case of error
    await sheet.resize(100, 100);
}
/* 
[
  {
    value1: 'key0',
    value2: 'value0',
    value3: 0.7238840059,
    value4: true,
    value5: 2020-03-03T05:41:02.926Z
    value6: [ 0, 1, 2, 0.865 ],
    value7: [ '0', 'a', 'b', 'c' ]
  }
  {
    value1: 'key1',
    value2: 'value1',
    value3: 0.2963643265,
    value4: false,
    value5: 2020-03-03T05:41:03.149Z
    value6: [ 1, 1, 2, 0.995 ],
    value7: [ '1', 'a', 'b', 'c' ]
  }
]
*/

Links

  • https://www.npmjs.com/package/array-to-google-sheets
  • https://www.npmjs.com/package/google-auth-library