gluetube

A simple python script scheduler with a shared local key-value database. Meant to enable easy automation and integration of infrastructure and systems. Like cron, but with more bells and whistles.

installation

There are two ways to deploy gluetube.

• docker
• virtual machine / bare metal

docker

1. docker volume create gluetube-cfg
2. docker volume create gluetube-db
3. docker run -d --init --name gluetube -v gluetube-cfg:/home/gluetube/.gluetube/etc -v gluetube-db:/home/gluetube/.gluetube/db ctomkow/gluetube
4. docker exec -it gluetube bash
5. gt db --rekey
6. docker restart gluetube

VM

1. adduser gluetube
2. pip install --user gluetube
3. gt --configure
4. gt db --init
5. gt daemon --background
6. gt db --rekey
7. gt daemon --stop
8. gt daemon --background

example usage

gt --help

gt summary

gt schedule 1 --now

pipeline development

You are meant to develop your own pipelines in python for gluetube. The following is a brief description of how to get your development environment setup. These instructions assume you use VS code and docker.

1. docker pull ctomkow/gluetube

2. docker volume create gluetube-db

3. docker volume create gluetube-cfg

4. docker run -itd --name gluetube --net=host -v gluetube-db:/home/gluetube/.gluetube/db -v gluetube-cfg:/home/gluetube/.gluetube/etc ctomkow/gluetube:latest

5. Open VS code. In the docker-> containers section, right-click on the running gluetube container and attach visual studio code to running container.

6. Within the container terminal, enter the pipelines directory. cd pipelines

7. Clone a repository. git clone <url> . Note the . at the end of the git clone. This is important because we don't want the project folder as a subdirectory.

8. Now you can develop your pipelines (.py files) while having a live gluetube daemon running within the container. All the gluetube cli commands are available to test out your pipeline code in a production-like environment. gt --help

roadmap

gluetube roadmap