Remove useless files (#2138)

* remove useless files and update documentation

* Remove reference to reset_db.sh from README.md

---------

Co-authored-by: Obada Haddad <obada.haddad@lisn.fr>
Co-authored-by: didayolo <adrien.pavao@gmail.com>

Author: 3 people

.editorconfig

@@ -28,8 +28,6 @@ $ docker compose exec django ./manage.py collectstatic --noinput
 
 You can now login as username "admin" with password "admin" at http://localhost/
 
-If you ever need to reset the database, use the script `./reset_db.sh`
-
 For more information about installation, checkout [Codabench Basic Installation Guide](https://docs.codabench.org/latest/Developers_and_Administrators/Codabench-Installation/) and [How to Deploy Server](https://docs.codabench.org/latest/Developers_and_Administrators/How-to-deploy-Codabench-on-your-server/).
 
 

Procfile

@@ -221,74 +221,18 @@ This is helpful only if you want to build the compute worker image. It is not ne
 To build the normal image:
 
 ```bash
-docker build -t codalab/competitions-v2-compute-worker:latest -f Dockerfile.compute_worker .
-```
-
-To build the GPU version:
-```bash
-docker build -t codalab/competitions-v2-compute-worker:gpu -f Dockerfile.compute_worker_gpu .
+docker build -t codalab/codabench-compute-worker:latest -f packaging/container/Containerfile.compute_worker .
 ```
 
 To update the image (add tag `:latest`, `:gpu` or else if needed)
 
 ```bash
-docker push codalab/competitions-v2-compute-worker
+docker push codalab/codabench-compute-worker
 ```
 
 !!! note "If you have running compute workers, you'll need to pull again the image and to restart the workers to take into account the changes."
 
 
-## Worker management
-
-Outside of docker containers install [Fabric](http://fabfile.org/) like so:
-
-```bash
-pip install fab-classic==1.17.0
-```
-
-Create a `server_config.yaml` in the root of this repository using:
-```
-cp server_config_sample.yaml server_config.yaml
-```
-
-Below is an example `server_config.yaml` that defines 2 roles `comp-gpu` and `comp-cpu`,
-one with GPU style workers (`is_gpu` and the GPU `docker_image`) and one with CPU style workers
-
-```yaml title="server_config.yaml"
-comp-gpu:
-  hosts:
-    - ubuntu@12.34.56.78
-    - ubuntu@12.34.56.79
-  broker_url: pyamqp://user:pass@host:port/vhost-gpu
-  is_gpu: true
-  docker_image: codalab/competitions-v2-compute-worker:gpu
-
-comp-cpu:
-  hosts:
-    - ubuntu@12.34.56.80
-  broker_url: pyamqp://user:pass@host:port/vhost-cpu
-  is_gpu: false
-  docker_image: codalab/competitions-v2-compute-worker:latest
-```
-
-You can of course create your own `docker_image` and specify it here.
-
-You can execute commands against a role:
-
-```bash
-fab -R comp-gpu status
-..
-[ubuntu@12.34.56.78] out: CONTAINER ID        IMAGE                                           COMMAND                  CREATED             STATUS              PORTS               NAMES
-[ubuntu@12.34.56.78] out: 1d318268bee1        codalab/competitions-v2-compute-worker:gpu   "/bin/sh -c 'celery …"   2 hours ago         Up 2 hours                              hardcore_greider
-..
-
-fab -R comp-gpu update
-..
-(updates workers)
-```
-
-See available commands with `fab -l`
-
 ## Update docker image
 
 If the compute worker docker image was updated, you can reflect the changes using the following commands.
@@ -302,17 +246,7 @@ docker ps
 Update the worker:
 
 ```sh
-docker stop compute_worker
-docker rm compute_worker
-docker pull codalab/competitions-v2-compute-worker:latest    # or other relevant docker image
-docker run \                                                 # or docker compose up -d
-    -v /codabench:/codabench \
-    -v /var/run/docker.sock:/var/run/docker.sock \
-    -d \
-    --env-file .env \
-    --name compute_worker \
-    --restart unless-stopped \
-    --log-opt max-size=50m \
-    --log-opt max-file=3 \
-    codalab/codabench-compute-worker:latest            # or other relevant docker image
+docker compose down
+docker compose pull
+docker compose up -d
 ```