Gemini Flight Manager

Overview

Gemini Flight Manager is a comprehensive backend system built using FastAPI, designed for managing and simulating flight-related operations. This system provides a robust platform for handling various aspects of flight management, including flight generation, search, and booking functionalities.

The project leverages FastAPI's efficient and easy-to-use framework to create a high-performance, scalable solution ideal for flight data management. It comes equipped with an SQLite database (flights.db) pre-populated with initial data, allowing for quick deployment and testing.

Key features of Gemini Flight Manager include:

• Advanced search capabilities to query flights based on criteria like origin, destination, and dates.
• Booking system that handles seat availability across different classes and calculates costs accordingly.

Designed with extensibility and scalability in mind, Gemini Flight Manager is well-suited for both educational purposes and as a foundation for more complex flight management applications.

**For the purposes of Gemini Function Calling, you will only need search_flights and book_flight functions.

Installation

Prerequisites

Before you begin, ensure you have the following installed on your system:

• Python 3.6 or higher
• FastAPI
• Uvicorn, an ASGI server for FastAPI

Step-by-Step Installation Guide

1. Clone the Repository

   Start by cloning the repository to your local machine. Use the following command:

   git clone https://github.com/your-username/your-repository.git
   cd your-repository
   

Set Up a Virtual Environment (Optional but recommended)

It's a good practice to create a virtual environment for your Python projects. This keeps your project dependencies isolated. If you have virtualenv installed, create a new environment with:

virtualenv venv
source venv/bin/activate

Install Dependencies

Inside the virtual environment, install all necessary dependencies by running:

pip install -r requirements.txt

Starting the FastAPI Server

After the installation, you can start the FastAPI server using Uvicorn. Navigate to the project directory and run:

uvicorn main:app

Accessing the API

With the server running, you can access the API at http://127.0.0.1:8000.

For interactive API documentation, visit http://127.0.0.1:8000/docs, where you can test the API endpoints directly from your browser.