IP Weather Forecast Prefect Workflow

This project implements a Prefect workflow that:

1. Fetches the public IP address of the device using ipify.org
2. Gets geo-location data for the IP address using ip-api.com
3. Retrieves weather forecast data for the location using Open-Meteo API
4. Displays the data in a dashboard with tables and trend graphs

Features

• Runs every 15 minutes via Prefect scheduling
• Caches API responses to respect rate limits
• Creates Prefect artifacts for data visualization
• Provides a Dash-based dashboard for viewing weather data

Files

• ip_weather_flow.py - Main Prefect workflow implementation
• weather_dashboard.py - Dash application for visualizing weather data
• deploy_flow.py - Script to deploy the workflow with scheduling
• requirements.txt - Project dependencies

Setup

1. Install dependencies:

   pip install -r requirements.txt
   

2. Start the Prefect server:

   prefect server start
   

3. Deploy the flow:

   python deploy_flow.py
   

4. Start the dashboard:

   python weather_dashboard.py
   

5. Access the dashboard at http://localhost:8050

Notes

• The workflow uses caching to avoid exceeding API rate limits
• Weather data is displayed for the current day and the next few days
• The dashboard automatically refreshes every minute