A Clockwork Cluster

Many of the "readme" files are outdate, but still contain useful pieces, and the final layout/functionality of this repo are not known yet, so that makes it hard to document properly.

The most relevant readme file is setup_ecosystem/docker-compose.yml ! and we can see how to use it by looking at the various .sh files in the top level of this repo.

Brief overview of folders

Used:

• clockwork_web : the web server, to be deployed by IDT

• clockwork_web_test : unit tests for "clockwork_web"

• clockwork_tools : python module to be used by Mila members in conjuction with prod instance "clockwork_web"

• clockwork_tools_test : unit tests for "clockwork_tools"

• slurm_state : internal tools to parse the slurm reports from many clusters

• slurm_state_test : unit tests for "slurm_state"

• test_common : some functions used by two or more of the "_test" components

• scripts : useful scripts for occasional uses internally

• docs : documentation for this project, to be published externally

• setup_ecosystem : configuration to launch the web server, tests and development instances. Needs refactoring.

Summary of who runs what where

component	launched by	target audience	runs against which clockwork_web
clockwork_web	IDT	everyone at Mila	N/A
clockwork_web_test	IDT	IDT	dev instance in docker container
clockwork_tools	N/A	everyone at Mila	prod
clockwork_tools_test	IDT	IDT	dev instance in docker container
slurm_state	IDT	IDT	mongodb instance (dev or prod)
slurm_state_test	IDT	IDT	dev instance in docker container

modules needed

# for main project
python3 -m pip install flask flask-login numpy pymongo oauthlib coverage black ldap3 toml
# for docs
python3 -m pip install sphinx myst_parser sphinx_rtd_theme sphinxcontrib.httpdomain

documentation

In the "doc" directory, build the documentation with

export CLOCKWORK_CONFIG=../test_config.toml
make rst
make html

running the code in "dev" mode inside a Docker container

Start the container:

bash dev.sh

Inside the container:

python3 scripts/store_fake_data_in_db.py
python3 -m flask run --host="0.0.0.0"

Navigate to http://localhost:15000 on your computer. In order to access the contents and not be blocked by the landing page that requires SSO, you can access http://127.0.0.1:15000/login/testing?user_id=student00@mila.quebec instead.

Current branches

(To be completed)

• frontend to set up the graphical interface