merged from master
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@@ -5,5 +5,5 @@ authors:
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given-names: Akilan
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title: P2PRC
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license: "GPL-2.0"
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version: 1.0.0
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date-released: 2021-07-22
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version: 2.0.0
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date-released: 2023-06-08
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# Abstractions
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| [◀ Previous](Installation.md) | [Next ▶](Implementation.md) |
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|:-----------:|---------|
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The Abstractions package consists of black-boxed functions for P2PRC.
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## Functions
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- ```Init(<Project name>)```: Initializes P2PRC with all the needed configurations.
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- ```Start()```: Starts p2prc as a server and makes it possible to extend by adding other routes and functionality to P2PRC.
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- ```Start()```: Starts p2prc as a server and makes it possible to extend by adding other routes and functionality to P2PRC.
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---
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### Next Chapter: [Implementation](Implementation.md)
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# Implementation
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# Implementation
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| [◀ Previous](Introduction.md) | [Back to TOC](README.md) |
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|:-----------:|---------|
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This chapter describes how the project was built. It talks in depth of the implementation
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performed to give a better understanding of the project.
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## Programming langauge used
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The programming language used for this project was Golang. The reason Go lang was chosen was
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because it is a compiled language.
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The programming language used for this project was [Golang](https://go.dev/). The reason Go lang was chosen was
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because it is a compiled language.<br>
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The entire codebase is just a single binary file. When
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distributing to other linux distributing the only requirement would be the binary file to run the
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code. It is easy to write independant modules and be monolithic at the sametime using Go. Using
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Go.mod makes it very easy to handle external libraries and modularise code. The go.mod name for
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the project is git.sr.ht/~akilan1999/p2p-rendering-computation.
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code. It is easy to write independant modules and be monolithic at the sametime using Go.<br>
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Using Go.mod makes it very easy to handle external libraries and modularise code. The go.mod name for
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the project is [git.sr.ht/~akilan1999/p2p-rendering-computation](https://git.sr.ht/~akilan1999/p2p-rendering-computation).
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## [Cli Module](CliImplementation.md)
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## [Config Module](ConfigImplementation.md)
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## [Server Module](ServerImplementation.md)
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## [Client Module](ClientImplementation.md)
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## [P2P Module](P2PImplementation.md)
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## [Plugin Module](PluginImplementation.md)
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## [Generate Module](GenerateImplementation.md)
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- ## [Cli Module](CliImplementation.md)
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- ## [Config Module](ConfigImplementation.md)
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- ## [Server Module](ServerImplementation.md)
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- ## [Client Module](ClientImplementation.md)
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- ## [P2P Module](P2PImplementation.md)
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- ## [Plugin Module](PluginImplementation.md)
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- ## [Generate Module](GenerateImplementation.md)
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@@ -1,4 +1,7 @@
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# Installation
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# Installation
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| [◀ Previous](Introduction.md) | [Next ▶](Abstractions.md) |
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|:-----------:|---------|
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Over here we will cover the basic steps to get the server and client side running.
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@@ -39,7 +42,7 @@ To set up P2PRC on Windows, simply run this batch file.
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.\install.bat
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```
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### Add appropriate paths to .bashrc
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### Add appropriate paths to `.bashrc`
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```
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export P2PRC=/<PATH>/p2p-rendering-computation
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export PATH=/<PATH>/p2p-rendering-computation:${PATH}
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@@ -111,7 +114,7 @@ GLOBAL OPTIONS:
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# Using basic commands
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### Start as a server
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Do ensure you have docker installed for this
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Do ensure you have Docker installed for this
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```
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p2prc -s
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```
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@@ -223,14 +226,13 @@ This feature is still Under Development:
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#### Run Test Cases
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- Generate Test Case Ansible file
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- ```make testcases```
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- Enter inside plugin directory and run tests.
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Note: That docker needs to installed and needs to run without
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sudo. Refer the section install Docker.
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- Enter inside plugin directory and run tests.<br>
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**Note:** That docker needs to installed and needs to run without
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sudo. Refer the section [Install Docker](#install-docker).
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- ```cd plugin```
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- ```go test .```
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---
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### Next Chapter: [Abstractions](Abstractions.md)
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@@ -1,5 +1,8 @@
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# Chapter 1: Introduction
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| [◀ Back to TOC](README.md) | [Next ▶](Installation.md) |
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|:-----------:|---------|
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## Abstract
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This project focuses on creating a framework on running heavy tasks that a regular computer
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cannot run easily such as graphically demanding video games, rendering 3D animations , protein
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@@ -34,3 +37,7 @@ rendering tools and tools to batch any sort of tasks.
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- Creating p2p network
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- Server to create a containerised environment
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- The client node to run tasks on Server containerised node -->
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---
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### Next Chapter: [Installation](Installation.md)
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