https://github.com/i-rzr-i/itemdistribution

An item/document distribution suggestion based on user load calculation.
https://github.com/i-rzr-i/itemdistribution

coefficient distribution document entity item list

Last synced: 5 months ago
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An item/document distribution suggestion based on user load calculation.

• Host: GitHub
• URL: https://github.com/i-rzr-i/itemdistribution
• Owner: I-RzR-I
• License: mit
• Created: 2023-08-21T14:58:46.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-10T12:46:21.000Z (over 1 year ago)
• Last Synced: 2025-01-12T21:13:58.232Z (over 1 year ago)
• Topics: coefficient, distribution, document, entity, item, list
• Language: C#
• Homepage:
• Size: 40 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
[![NuGet Version](https://img.shields.io/nuget/v/ItemDistribution.svg?style=flat&logo=nuget)](https://www.nuget.org/packages/ItemDistribution/)

[![Nuget Downloads](https://img.shields.io/nuget/dt/ItemDistribution.svg?style=flat&logo=nuget)](https://www.nuget.org/packages/ItemDistribution)

This repository results from the need to implement a more dynamic way to assign and document/item to the user for processing. At the base of implementation is a selection that must find the user that is move available and has a few items in processing (coefficient of load).

This is a short description of the base algorithm used for user selection.

The user selection is implemented in a few steps:

- Find the user with the lowest coefficient;

- In case when was found more than one user with the same coefficient, then find a new user by his `priority` (`Priority` may be the user role, user qualification, or user work experience, etc. The priority is higher as close to 0 as possible is the value.) and return new selection;

- In case when was found more than one user with the same `priority`, then find the first user with the most recent activity date.

- In all-over cases, like an exception, the algorithm will get a random user.

As a result of algorithm execution, you will get 2 user suggestions:

-  a `base` user distribution suggestion 

- an `alternative` user suggestion (which is a random user selection).

**In case you wish to use it in your project, u can install the package from nuget.org** or specify what version you want:

> `Install-Package ItemDistribution -Version x.x.x.x`

## Content

1. [USING](docs/usage.md)

1. [CHANGELOG](docs/CHANGELOG.md)

1. [BRANCH-GUIDE](docs/branch-guide.md)