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Codabench Installation
Installing Codabench should be relatively easy since you no longer have to worry about special ways to setup SSL or storage. We include default solutions that should handle that for most basic uses.
Either:
a) Install docker via the install script: https://docs.docker.com/install/linux/docker-ce/ubuntu/#install-using-the-convenience-script
b) Install manually following the steps at: https://docs.docker.com/install/
https://docs.docker.com/compose/install/
Download the Codabench repository:
git clone https://github.com/codalab/codabench
The .env
file contains the settings of your instance.
At first you don't have the .env
file. To create it, copy the .env_sample
as following:
cd codabench
cp .env_sample .env
Then edit the necessary settings inside. The most important are the database, storage, and Caddy/SSL settings.
In .env
, replace:
SUBMISSIONS_API_URL=http://localhost/api
[...]
AWS_S3_ENDPOINT_URL=http://localhost:9000/
by
SUBMISSIONS_API_URL=http://example.com/api
[...]
AWS_S3_ENDPOINT_URL=http://docker.for.mac.localhost:9000/
To deploy the platform, run:
docker-compose up -d
You should be able to verify it is running correctly by looking at the logs with docker-compose logs -f
and by visting localhost:80
(Depending on your configuration).
To run automated tests for your local instance, get inside the Django constainer with docker-compose exec django bash
then run py.test
to start the automated tests.
To enable SSL:
- If you already have a DNS for your server that is appropriate, in the .env simply set
DOMAIN_NAME
to your DNS. Remove any port designation like:80
. This will have Caddy serve both HTTP and HTTPS.
By default v2 uses a built-in minio container. Some users may want a different solution such as S3 or Azure. The configuration will vary slightly for each different type of storage.
For all possible supported storage solutions, see: https://django-storages.readthedocs.io/en/latest/
For setting up remote compute workers, please see this link to the wiki article on setting up compute workers: Compute Worker Management
Read the following guide for troubleshooting: How to deploy Codabench.