Kiko Network API for Data Fetching

Overview

This project is a FastAPI-based web application that provides APIs for user authentication and air quality data management. It is designed with scalability in mind and structured for easy maintainability.

Features

User Authentication: Implements secure login and registration features.
Air Quality Data: API endpoints to retrieve and store air quality data.
Database Integration: Uses SQLAlchemy ORM to interact with a PostgreSQL database.
Environment Configuration: Uses .env for environment variable management.
Docker Support: Comes with Docker setup for easy containerization and deployment.

Directory Structure

.
├── app
│   ├── air_quality
│   │   ├── air_quality.py
│   │   └── __init__.py
│   ├── auth
│   │   ├── auth.py
│   │   └── __init__.py
│   ├── config
│   │   ├── __init__.py
│   │   └── settings.py
│   ├── database
│   │   ├── database.py
│   │   └── __init__.py
│   ├── models
│   │   ├── __init__.py
│   │   └── models.py
│   └── schemas
│       ├── __init__.py
│       └── schemas.py
├── Dockerfile
├── main.py
├── README.md
├── requirements.txt
└── run.sh

Installation

To set up the project locally, follow these steps:

Clone the repository:

git clone https://github.com/your-repo-name.git
cd your-repo-name

Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use venv\Scripts\activate

Install dependencies:
```
pip install -r requirements.txt
```
Set up environment variables: Create a .env file in the root directory and add the following variables:
```
DATABASE_URL=<your_database_url>
SECRET_KEY=<your_secret_key>
```
Run the application:
```
uvicorn main:app --reload
```

Running with Docker

To run the project with Docker: