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

node-excel-export-meteor

v1.4.2

Published

Node-Excel-Export

Downloads

2

Readme

Node.JS Excel-Export

Nice little module that is assisting when creating excel exports from datasets. It takes normal array-of-objects dataset plus a json report specification and builds excel(.xlsx) file. It supports styling and re-formating of the data on the fly. Check the example usage for more information.

Installation

npm install node-excel-export

Usage

const excel = require('node-excel-export');

// You can define styles as json object
// More info: https://github.com/protobi/js-xlsx#cell-styles
const styles = {
  headerDark: {
    fill: {
      fgColor: {
        rgb: 'FF000000'
      }
    },
    font: {
      color: {
        rgb: 'FFFFFFFF'
      },
      sz: 14,
      bold: true,
      underline: true
    }
  },
  cellPink: {
    fill: {
      fgColor: {
        rgb: 'FFFFCCFF'
      }
    }
  },
  cellGreen: {
    fill: {
      fgColor: {
        rgb: 'FF00FF00'
      }
    }
  }
};

//Array of objects representing heading rows (very top)
const heading = [
  [{value: 'a1', style: styles.headerDark}, {value: 'b1', style: styles.headerDark}, {value: 'c1', style: styles.headerDark}],
  ['a2', 'b2', 'c2'] // <-- It can be only values
];

//Here you specify the export structure
const specification = {
  customer_name: { // <- the key should match the actual data key
    displayName: 'Customer', // <- Here you specify the column header
    headerStyle: styles.headerDark, // <- Header style
    cellStyle: function(value, row) { // <- style renderer function
      // if the status is 1 then color in green else color in red
      // Notice how we use another cell value to style the current one
      return (row.status_id == 1) ? styles.cellGreen : {fill: {fgColor: {rgb: 'FFFF0000'}}}; // <- Inline cell style is possible 
    },
    width: 120 // <- width in pixels
  },
  status_id: {
    displayName: 'Status',
    headerStyle: styles.headerDark,
    cellFormat: function(value, row) { // <- Renderer function, you can access also any row.property
      return (value == 1) ? 'Active' : 'Inactive';
    },
    width: '10' // <- width in chars (when the number is passed as string)
  },
  note: {
    displayName: 'Description',
    headerStyle: styles.headerDark,
    cellStyle: styles.cellPink, // <- Cell style
    width: 220 // <- width in pixels
  }
}

// The data set should have the following shape (Array of Objects)
// The order of the keys is irrelevant, it is also irrelevant if the
// dataset contains more fields as the report is build based on the
// specification provided above. But you should have all the fields
// that are listed in the report specification
const dataset = [
  {customer_name: 'IBM', status_id: 1, note: 'some note', misc: 'not shown'},
  {customer_name: 'HP', status_id: 0, note: 'some note'},
  {customer_name: 'MS', status_id: 0, note: 'some note', misc: 'not shown'}
]

// Define an array of merges. 1-1 = A:1
// The merges are independent of the data.
// A merge will overwrite all data _not_ in the top-left cell.
const merges = [
  { start: { row: 1, column: 1 }, end: { row: 1, column: 10 } },
  { start: { row: 2, column: 1 }, end: { row: 2, column: 5 } },
  { start: { row: 2, column: 6 }, end: { row: 2, column: 10 } }
]

// Create the excel report.
// This function will return Buffer
const report = excel.buildExport(
  [ // <- Notice that this is an array. Pass multiple sheets to create multi sheet report
    {
      name: 'Report', // <- Specify sheet name (optional)
      heading: heading, // <- Raw heading array (optional)
      merges: merges, // <- Merge cell ranges
      specification: specification, // <- Report specification
      data: dataset // <-- Report data
    }
  ]
);

// You can then return this straight
res.attachment('report.xlsx'); // This is sails.js specific (in general you need to set headers)
return res.send(report);

// OR you can save this buffer to the disk by creating a file.

Contributors

| Contributor | Contribution | | --- | --- | | @jbogatay | Allow null values | | @frenchbread | Example update | | @fhemberger | Undefined header style | | @zeg-io Tony Archer | Cell Merging |