Weather Data Fetching and Encryption Project

This project combines API integration, data processing, file encryption, and weather data forecasting. It fetches real-time weather data, stores the results in CSV files, and provides an option to encrypt sensitive weather information using AES encryption.

Features

1. Fetch Weather Data

• Retrieves current weather and forecast data from the WeatherAPI.
• Retrieves both hourly and daily weather forecasts for a specified city.
• Data includes temperature, condition, wind speed, humidity, visibility, and more.
• Example functionality is provided in api_integration.py.

2. Save Weather Data

• Saves the fetched weather data to CSV files:
  • current_weather.csv
  • hourly_forecast.csv
  • daily_forecast.csv
• Each CSV file is systematically created using the Pandas library.
• The saving mechanism is implemented in scraping.py.

3. Encrypt Weather Data

• Encrypts the current_weather.csv file using AES (Advanced Encryption Standard).
• Provides options to securely encrypt and decrypt files.
• Encryption and decryption functionalities are located in encryption.py.

Project Structure

├── api_integration.py       # Fetches weather data from WeatherAPI
├── scraping.py              # Saves weather data and calls encryption methods
├── encryption.py            # AES encryption and decryption for files
├── current_weather.csv      # Sample CSV file with current weather data
├── hourly_forecast.csv      # Sample hourly forecast CSV
├── daily_forecast.csv       # Sample daily forecast CSV
├── current_weather_encrypted.bin  # AES-encrypted binary file

Files Overview

1. api_integration.py
   Handles API calls to fetch current weather and forecast data from WeatherAPI.

   • Functions:
     • fetch_current_weather(city_name): Fetches the current weather for a city.
     • fetch_forecast(city_name, days=3): Retrieves an hourly and daily forecast for a city (default: 3 days).

2. scraping.py
   Saves the weather data into CSV files, using api_integration.py for weather data and encryption.py for AES encryption.

   • Key Feature:
     • Programmatically fetches and saves weather data for a city.
     • Encrypts the current_weather.csv data file and generates a binary output.

3. encryption.py
   Handles encryption and decryption for sensitive weather data files using AES.

   • Functions:
     • encrypt_file(input_file, output_file, key): Encrypts the input file and saves it to the output file.
     • decrypt_file(input_file, output_file, key): Decrypts an encrypted file and restores it to its original state.

4. Sample Weather Data Files:

   • current_weather.csv: Stores single-day weather data for the specified city.
   • hourly_forecast.csv: Shows hourly weather forecast data.
   • daily_forecast.csv: Provides a multi-day weather forecast summary.

5. current_weather_encrypted.bin
   A sample AES-encrypted file demonstrating the encryption of weather data.

Setup Requirements

To run this project locally, you’ll need the following:

Prerequisites

1. Python 3.8+
2. Required libraries:
   • requests: For making API calls.
   • pandas: For handling CSV file manipulations.
   • pycryptodome: For AES encryption.

Install the required libraries using:

pip install requests pandas pycryptodome

API Key

The project uses WeatherAPI to fetch weather data. You need to have an API key from WeatherAPI. Place your API key in api_integration.py:

API_KEY = "YOUR_API_KEY_HERE"

How to Run the Project

1. Ensure all dependencies are installed.

2. Replace the placeholder city name (e.g., Vlora) with the desired city.

3. Execute scraping.py to fetch, save, and encrypt weather data:

   python scraping.py

4. The script will:

   • Save the weather data in CSV files.
   • Encrypt current_weather.csv and save the encrypted output to current_weather_encrypted.bin.

5. To decrypt the file, use the same key that was generated during encryption:

   encryption.decrypt_file(input_file, output_file, key)

Example Workflow

1. Fetch the real-time weather data for Vlora.
2. Save the results to the following CSV files:
   • current_weather.csv
   • hourly_forecast.csv
   • daily_forecast.csv
3. Encrypt the current_weather.csv file and store the output in current_weather_encrypted.bin.

Output File Examples

hourly_forecast.csv

daily_forecast.csv

current_weather.csv

current_weather_encrypted.bin