Airflow plugin for visualising DAG schedules within 24 hour window of a day.
Project description
DAG Schedule Graph
Airflow plugin for visualising DAG schedules within 24 hour window of a day.
Note: Project is in its early development stage so bugs are expected.
Install
W.I.P
Development
# Create virtual environment using conda
conda create -n dag-schedule-graph python=3.7.9
# Load environemnt variables
source .envrc
# 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
# Start Airflow Webserver
airflow webserver
# Access webserver
open http://localhost:8080/dag-schedule-graph/
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