## Introduction

This project serves as the API backend for the platform and is built using cutting edge tech resulting in great maintainability and productivity

## Features

This project is packed with Industry wide best practices with **great attention to detail.** Listing some of the best features below.

### 💻 Infastructure As Code (IaC)

The entire infrastructure required for this project including but not limited to the Database, ECS Container, Cloud-front CDN, S3 Bucket, Custom Domains, and Private Networks has been configured through code (Terraform) which allows complete automation over infrastructure provisioning, and multiple environments can be spun up and destroyed predictably and consistently. Here is an example of provisioning the database.

```tf
resource "aws_db_instance" "postgres" {
  identifier             = "${local.prefix}-db"
  allocated_storage      = 20
  storage_type           = "gp2"
  engine                 = "postgres"
  instance_class         = "db.t2.micro"
  name                   = lower(var.project)
  password               = random_password.postgres.result
  username               = random_pet.user.id
  multi_az               = false
  vpc_security_group_ids = [aws_security_group.rds.id]
  tags                   = local.tags
  # Conditional Settings
  skip_final_snapshot       = terraform.workspace == "production" ? false : true
  backup_retention_period   = terraform.workspace == "production" ? 7 : 0
  copy_tags_to_snapshot     = terraform.workspace == "production" ? true : false
  final_snapshot_identifier = "${local.prefix}-postgres-snapshot"
}
```

### 🤖 CI/CD Automation

The project includes complete automation via **GitLab CI** including support for multiple environments. Whenever code is pushed on a protected branch the pipeline runs validates the terraform configuration, builds the docker image and then applies the terraform configuration.

### 🔔 Push Notifications

Push notifications are sent to the mobile client using firebase. A periodic task has been setup on the backend to send notifications everyday at a particular time to all the concerned farmers.

### 🕸️ GraphQL APIs

The project implements GraphQL APIs to the most flexibility to the client whilst minimizing development effors. Since the entire schema is tightly controlled the client can introspect the server and get amazing autocompletion on the front-end minimizing human error.

![GraphQL Schema](https://res.cloudinary.com/maalik-dev/image/upload/v1694105660/87670486-58B7-45A4-A77D-8EEC6969FAA8_nxlg86.png)

### 📅 Periodic Tasks

The project uses Celery Beat and Redis for scheduling and running asynchronous periodic tasks.

### ☁ Easy to deploy on AWS

Can be easily deployed on AWS with the use of Terraform. Unfortunately I cannot keep this project live for a demo because it costs a considerable amount of money considering the sheer number of components in the Infastructure.


Biosis is a platform that helps farmers manage their fertilisation schedule by reminding them on the daily basis about the amount and type of fertilisers to use, the reminder also takes into consider the weather conditions via an open weather api. It is by far the project I am most proud of.

Biosis API

## Introduction

This is a simple react implementation of a popular board game, the project utlizes a library called `react-spring` for smooth animations. The player has **50** turns to turn all the lights on else the game ends.


The Lights Out game is a logic puzzle game in which the player must turn off all of the lights on a grid by clicking on them. When a light is clicked, it and its four adjacent lights are toggled (turned on if they are off, and off if they are on). The goal of the game is to turn off all of the lights in as few clicks as possible.

Lights Out

## 📖 Introduction

This is a simple URL Redirector with support for closest word matching algorithm built with GO as well as a simple web interface to manage the redirects.

## 📖 Closest Word Matching

The redirector uses a library to find the closest matching word in the dictionary and then redirects to the corresponding URL. This is useful when the user makes a typo in the URL.
eg. `api.maalik.dev/linkein` will redirect to `linkedin.com/in/malikbagwala`
eg. `api.maalik.dev/linkedin` will redirect to `linkedin.com/in/malikbagwala`
eg. `api.maalik.dev/inkedinasdinln` will redirect to `linkedin.com/in/malikbagwala`

## 💿 Single Place For All Your Links

The redirector can be used to create a single place for all your links. You can create a link for your website, your social media profiles, your blog, your resume, etc. and then share the link to your redirector. This way you can change the links without having to change the link in all the places you have shared it.

There is also a web interface hosted at the root of the website ([https://api.maalik.dev](https://api.maalik.dev)) which can be used to view all the links at once

### 🤖 CI/CD Automation

The project includes complete automation via **Railway**. The project is deployed to Railway on every push to the `main` branch.

### 🔮 Future Scope

1.  Add support for creating and updating links via an admin interface and store it in a remote datastore or json file


A simple URL Redirector with support for closest word matching built with GO as well as a simple web interface to manage the redirects.

Malik Bagwala

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