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Event-Driven DAG Automation with GDACS Alerts

This project automates the triggering of Directed Acyclic Graphs (DAGs) in response to orange or red alerts from the Global Disaster Alert and Coordination System (GDACS). By integrating real-time event monitoring and automated workflow triggers, this system ensures timely and efficient responses to critical events.

Table of Contents

Features

  • Real-Time Monitoring: Continuously monitors the GDACS website for new alerts.
  • Automated DAG Triggers: Triggers specific DAGs within the pipeline based on alert.

Prerequisites

  • Python 3.8 or higher
  • Poetry
  • Airflow
  • Docker

Installation

git clone https://github.com/ediakatos/pipeline-event-driven-gdacs.git
cd pipeline-event-driven-gdacs
make .venv hooks

Database

Run inside the Project's dir

mkdir -p data

and then,

make database

To run the Event-Driven Programme

Start-Event

make event

Stop-Event

make no_event