README.md

Tubular Common provides TypeScript and Javascript models and data transformer to use any Tubular DataGrid component with an array of Javascript objects.

Please visit the Tubular GitHub Page to learn how quickly you can start coding. See Related projects below to discover more Tubular libraries and backend solutions.

Installation

$ npm install tubular-common --save

Usage

Transformer

The Transformer will resolve a Tubular Grid Request model and a dataset (array of objects) into a Tubulr Grid Response model. When using with another Tubular library (like Tubular React) the UI component should create the request object to transform a dataset in a response object ready to use in your UI.

The following code is a sample how use the request and response objects to tranform data:

import Transformer from 'tubular-common';

const request = new GridRequest(
    [
        new ColumnModel('OrderID', {
            dataType: ColumnDataType.Numeric,
            filterable: true,
            isKey: true,
            label: 'Order ID',
            sortDirection: ColumnSortDirection.Ascending,
            sortOrder: 1,
            sortable: true,
        }),
        new ColumnModel('CustomerName', {
            aggregate: AggregateFunctions.None,
            searchable: true,
            sortable: false,
        }),
        new ColumnModel('ShippedDate', {
            dataType: ColumnDataType.DateTime,
            dilterable: true,
            sortable: false,
        }),
        new ColumnModel('ShipperCity'),
        new ColumnModel('Amount', {
            dataType: ColumnDataType.Numeric,
            sortable: false,
        }),
    ],
    10,
    0,
    '',
);

export const data = [
    {
        OrderID: 1,
        CustomerName: 'Microsoft',
        ShippedDate: '2016-03-19T19:00:00',
        ShipperCity: 'Guadalajara, JAL, Mexico',
        Amount: 300.0,
    },
    {
        OrderID: 2,
        CustomerName: 'Microsoft',
        ShippedDate: '2016-11-08T18:00:00',
        ShipperCity: 'Los Angeles, CA, USA',
        Amount: 9.0,
    },
    /// ...
];

const response = Transformer.getResponse(request, data);
console.log(data);

The output is the following Javascript object:

{
  aggregationPayload: { },
  counter: 0,
  currentPage: 1,
  filteredRecordCount: 22,
  payload: [
    {
      OrderID: 1,
      CustomerName: 'Microsoft',
      ShippedDate: '2016-03-19T19:00:00',
      ShipperCity: 'Guadalajara, JAL, Mexico',
      Amount: 300.00
    },
    {
      OrderID: 2,
      CustomerName: 'Microsoft',
      ShippedDate: '2016-11-08T18:00:00',
      ShipperCity: 'Los Angeles, CA, USA',
      Amount: 9.00
    },
    {
      OrderID: 3,
      CustomerName: 'Unosquare LLC',
      ShippedDate: '2016-11-08T18:00:00',
      ShipperCity: 'Guadalajara, JAL, Mexico',
      Amount: 92.00
    },
    {
      OrderID: 4,
      CustomerName: 'Vesta',
      ShippedDate: '2016-03-19T19:00:00',
      ShipperCity: 'Portland, OR, USA',
      Amount: 300.00
    },
    {
      OrderID: 5,
      CustomerName: 'Super La Playa',
      ShippedDate: '2016-04-23T10:00:00',
      ShipperCity: 'Leon, GTO, Mexico',
      Amount: 174.00
    },
    {
      OrderID: 6,
      CustomerName: 'OXXO',
      ShippedDate: '2016-12-22T08:00:00',
      ShipperCity: 'Guadalajara, JAL, Mexico',
      Amount: 92.00
    },
    {
      OrderID: 7,
      CustomerName: 'Super La Playa',
      ShippedDate: '2016-03-19T19:00:00',
      ShipperCity: 'Portland, OR, USA',
      Amount: 300.00
    },
    {
      OrderID: 8,
      CustomerName: 'Super La Playa',
      ShippedDate: '2016-04-23T10:00:00',
      ShipperCity: 'Leon, GTO, Mexico',
      Amount: 15.00
    },
    {
      OrderID: 9,
      CustomerName: 'OXXO',
      ShippedDate: '2016-12-22T08:00:00',
      ShipperCity: 'Guadalajara, JAL, Mexico',
      Amount: 92.00
    },
    {
      OrderID: 10,
      CustomerName: 'Vesta',
      ShippedDate: '2016-03-19T19:00:00',
      ShipperCity: 'Portland, OR, USA',
      Amount: 300.00
    }
  ],
  totalPages: 3,
  totalRecordCount: 22
};

ColumnModel class

It represents a DataGrid column and its constructor requires a name identifier as well as an object of column options with the following properties:

Name	Type	Default Value	Description	Options
name	string		This is required and represents a property of the entity which we are binding.	-
aggregate	AggregateFunctions		The aggregation function that will be applied to this column.	None, Sum, Average, Count, DistinctCount, Max, Min
dataType	ColumnDataType	String	The column type.	String, Numeric, Boolean, Date, DateTime, DateTimeUtc
filterable	bool	false	Enables filtering.	-
isKey	bool	false	Defines if a column is an identifier or not.	-
label	string	The name of the column	Column label that will be shown.	-
searchable	bool	true	Indicates that a column can be used to search upon.	-
sortDirection	ColumnSortDirection		-	None, Ascending, Descending
sortOrder	number	-1	-	-
sortable	bool	false	Determines if a column can be sorted.	-
visible	bool	true	Specifies if a column should be shown.	-

Related Projects

Name	Type	Language/tech	Description
Tubular React Common	Library	React	React hooks to integrate with any Grid component.
Tubular React	Library	React	Tubular-React is a DataGrid component using Material-UI
Tubular Dotnet	Backend library	C#/.NET Core	Tubular provides .NET Framework and .NET Core Library to create REST service to use with Tubular Angular Components easily with any WebApi library (ASP.NET Web API for example).
Tubular Nodejs	Backend Library	Javascript	Tubular Node.js provides an easy way to integrate Tubular Angular Components easily with any Node.js WebApi library.