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

@mggflow/table-data-manager

v1.1.1

Published

JS library that provides and simplifies data handling for table view.

Downloads

76

Readme

Table Data Manager

JS library that provides and simplifies data handling for table view.

Installation

Use command to install dependencies:

npm i @mggflow/table-data-manager

Description

This library let you handle workflow with data to table view. For example - you have array of users from database, and you need to view them in table. Moreover, you need to group them or do some preparations before the view. By this library you can just describe actions for columns and grouping rules. Thus, you will get the correct dataset for viewing in table.

Concept

  1. Some data
  2. Group this data, just all data are group too
  3. Transform data for view
  4. Sort data by order
  5. View data in table

Usage

Some data.

const users = [
    {
        'id': 0,
        'name': 'Mark',
        'sex': 'male',
        'age': 31,
    },
    {
        'id': 1,
        'name': 'John',
        'sex': 'male',
        'age': 7,
    },
    {
        'id': 2,
        'name': 'Den',
        'sex': 'male',
        'age': 99,
    },
    {
        'id': 3,
        'name': 'Jane',
        'sex': 'female',
        'age': 19,
    },
    {
        'id': 4,
        'name': 'Kate',
        'sex': 'female',
        'age': 17,
    },
]

Describe extra fields for grouping.

const groupingFields = {
    'g_height': (_) => 190,
    'g_age': (item) => item['age'] + Math.round(Math.random() * 10)
}

Describe extra fields for viewing. Important: viewing fields - handlers for items group, not for item separately.

let viewingFields = {
    'v_weight': (usersGroup) => usersGroup.map(() => 55).join(' he '),
    'cnt': (usersGroup) => usersGroup.length
}

Define labels for fields.

const labels = {
    'id': 'ID',
    'name': 'Name',
    'sex': 'Sex',
    'cnt': 'Amount',
}

Make TableDataManager and initialize it.

const mgr = makeTableDataManager()
mgr.init(users, viewingFields, groupingFields)

Next define columns for grouping.

const groupBy = ['sex']

And describe order for sorting.

const fieldsOrder = new Map(Object.entries({
    'sex': 'asc' // female, male
}))

Now let`s go to see result.

const grouped = mgr.grouper.group(groupBy, mgr.items)
const viewed = mgr.viewer.view(grouped)
mgr.sorter.sortBy(viewed, fieldsOrder)

console.log('Grouped:', grouped)
console.log('Viewed:', viewed)

And we will see something like it.

Grouped: {
  male: [
    { id: 0, name: 'Mark', sex: 'male', age: 31 },
    { id: 1, name: 'John', sex: 'male', age: 7 },
    { id: 2, name: 'Den', sex: 'male', age: 99 }
  ],
  female: [
    { id: 3, name: 'Jane', sex: 'female', age: 19 },
    { id: 4, name: 'Kate', sex: 'female', age: 17 }
  ]
}
Viewed: [
  {
    id: '3; 4',
    name: 'Jane; Kate',
    sex: 'female',
    age: '19; 17',
    v_weight: '55 he 55',
    cnt: 2,
    g_height: '-',
    g_age: '-'
  },
  {
    id: '0; 1; 2',
    name: 'Mark; John; Den',
    sex: 'male',
    age: '31; 7; 99',
    v_weight: '55 he 55 he 55',
    cnt: 3,
    g_height: '-',
    g_age: '-'
  }
]