DAG Schedule Graph
Airflow plugin for visualising DAG schedules within 24 hour window of a day.
Each bubble indicates the number of DAGs that will run at that instant. Bubble radius is relative to the DAG count.
Install
pip install dag-schedule-graphTrying it out using Docker
# Start the services
docker-compose up
# Access the webserver
open http://localhost:8082/dag-schedule-graph/
# Cleanup containers, networks and volumes
docker-compose down -vDevelopment
# Create virtual environment using conda
conda create -n dag-schedule-graph python=3.7.9
# Activate the environment
conda activate dag-schedule-graph
# Load environemnt variables
source .env
# Create Postgres database and user
createuser airflow_rbac
createdb -O airflow_rbac airflow_rbac
# Install plugin and all dependencies
pip install -e '.[dev]'
# Running tests
pytest tests
# Initialize Airflow
airflow initdb
# Create Airflow user
airflow create_user -u admin -e admin@gmail.com -p admin -f admin -l admin -r Admin
# Build static assets
npm run build
# Start Airflow Webserver
airflow webserver
# Access webserver
open http://localhost:8080/dag-schedule-graph/
