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dynamicentity

v0.6.1

Published

Entity Object Pattern, which utilizes key value numeric pairs with associated data. In effect approximating address pointers.

Downloads

2

Readme

DynamicEntity

Designed to be a companion object to be used in conjunction with ActionStrategy or plain NgRx, but can also stand on it's own.

DynamicEntity is a D.D.A. Control Data Structure that facilitates the use of Indexes as address pointers in Javascript.

Updates

6.1

  1. No longer force outputting a number per key. This allows the DynamicEntity to be extended into a more sophisticated structure.

5.5

  1. Added Generic Typing to DynamicEntity

  2. Adjusted Filter to reflect Array Filter Functionality. Thus if conditional function is not met, it will be added to the new DynamicEntity of T.

  3. Fixed a mislabeled TypeScript Definition

By Example

import { DynamicEntity } from 'dynamicentity'

let demoEntity = new DynamicEntity<any>([0,1,2,3,4,5]);

console.log("Outputs: ", (demoEntity));
// Outputs:  DynamicEntity { '0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5 }

console.log("Outputs: ", demoEntity[3]);
// Outputs:  3

demoEntity = demoEntity.append('ketchup');
console.log("Outputs: ", demoEntity[6]);
// Outputs:  ketchup

demoEntity = demoEntity.filter((entry) => entry !== 4);

console.log("Outputs: ", demoEntity[4]);
// Outputs:  undefined

demoEntity = demoEntity.append('sriracha');
demoEntity = demoEntity.filter((entry) => entry !== 'ketchup');
demoEntity = demoEntity.append(123);

console.log("Outputs: ", demoEntity);
// Outputs:  DynamicEntity { '0': 0, '1': 1, '2': 2, '3': 3, '5': 5, '7': 'sriracha', '8': 123 }

demoEntity = demoEntity.map((entry) => {
    if (typeof entry === "number") {
        return entry * 2;
    } else {
        return (entry[0] as string).toUpperCase() + (entry as string).slice(1) + " so tasty!"
    }
})

console.log("Outputs: ", demoEntity);
/**
*  Outputs:  DynamicEntity {
*  '0': 0,
*  '1': 2,
*  '2': 4,
*  '3': 6,
*  '5': 10,
*  '7': 'Sriracha so tasty!',
*  '8': 246 }
*/

This is to unfortunately contrast against NgRx's own Entity approach. As what this accomplish is a pure implementation of the "Entity" Pattern. As such is just an object that maintains a set of properties that are key value pairs.

In this implementation a DynamicEntity is designed to be part of a feature's state and capable of pointing towards reference of state. Not to replace reducer's functionalism with an extra layer of abstraction in order to avoid boilerplate.

With the reliance on a simple iterative Index Key, is to reinforce that what this pattern enables in Node. An abstract means of creating an address pointer that is comparable to a traditional low level language's implementation. By keeping the implementation simple and Array like, it is to emphasize the use of "Array of Index Structures" to control logic flow. Via the removal or borrowing (Rust like ownership) of entries.

Borrow and Return

The second attribute of a DynamicEntity are the functions borrow() and return().

In order to prevent racing across systems, individual properties may be snipped out and returned with a new DynamicEntity via borrow(). Only to later be included back into the Entity's properties via return().

What this accomplishes is functional encapsulation of working state. If a property is remotely being worked on, remove from properties.

//Continuation of above
let held;
[ demoEntity, held] = demoEntity.borrow((val) => 10 === val);

console.log("Outputs: ", held);
console.log("Outputs: ", demoEntity);
/**
 * Outputs:  [ 5, 10 ]
 * Outputs:  DynamicEntity {
 *  '0': 0,
 *  '1': 2,
 *  '2': 4,
 *  '3': 6,
 *  '7': 'Sriracha so tasty!',
 *  '8': 246 }
 */

demoEntity = demoEntity.return(held);

console.log("Outputs: ", demoEntity);
/**
 * Outputs:  DynamicEntity {
 *  '0': 0,
 *  '1': 2,
 *  '2': 4,
 *  '3': 6,
 *  '5': 10,
 *  '7': 'Sriracha so tasty!',
 *  '8': 246 }
 */

Best Practices

Things to keep in mind to improve robustness of your applications.

  1. Values must have a significant and unique field.

  2. Borrow and Return are optional, but highly recommended for complex reactive applications to avoid races.

  3. DynamicEntity becomes secondary in terms of logic flow when used with a Pointer Store.

PointerStore

A pointer store is an Array that can store single keys that point to values in an DynamicEntity. Or can be a Container Array an Array that houses Key and it's "Child Reference". Etc...

const pointerStore = [0, 3, 2, 6, 4];

const pointerStoreWithChildren = [
        [0, 6],
        [1, 1],
        [2, 7],
        [3, 3],
        [4, 0],
        [5, 10]
    ];

Nothing fancy, but facilitates ease of rendering large objects in frontend in addition to allowing for priority sorting. Or simply streamline computation in the back.

Closing

DynamicEntity is designed to be functionally similar to Arrays as possible. Thus DynamicEntity has the following functions:

  • Common Functions: map(), filter(), entries(), values()

  • Unique Functions append(), dehydrate(), borrow(), return()

CI tests to come for final version. Questions, comments, issues, look to associated github.