PrankWeb deploy with Docker - cusbg/p2rank-framework GitHub Wiki

What are you going to learn here:

how to run PrankWeb locally using Docker compose

Prerequisities

Install Docker You can check using command:
```
docker info
```

Steps

Clone git repository to empty directory.

git clone https://github.com/cusbg/prankweb.git .

Create Docker mounts. Please update the paths to the tmp directory to reflect your setup (this setup means that for example the predictions will be saved to the /tmp/predictions directory on your computer).

docker volume create --name prankweb_rabbitmq --opt type=none --opt device=/tmp/rabbitmq --opt o=bind
docker volume create --name prankweb_conservation --opt type=none --opt device=/tmp/conservation --opt o=bind
docker volume create --name prankweb_predictions --opt type=none --opt device=/tmp/predictions --opt o=bind
docker volume create --name prankweb_services --opt type=none --opt device=/tmp/services --opt o=bind
docker volume create --name prankweb_docking --opt type=none --opt device=/tmp/docking --opt o=bind

If you are running using Linux system, keep in mind that the directories must be writable for user 5988:5988. Alternatively variables UID and GID to specify user before building the images.

Optional step. Create .env file in the directory and set variables:
- WEB_SERVICE_USER
- WEB_SERVICE_PASSWORD
- RABBITMQ_DEFAULT_USER
- RABBITMQ_DEFAULT_PASS
- UID
- GID
Build images.
```
docker compose build
```
Download conservation file(s) using following command this may take a while. Be aware that you need about 30GB of space. Note that this is optional, but when not installed, conservation scores are not available.
```
docker compose run --rm executor-p2rank python3 /opt/hmm-based-conservation/download_database.py
```
Finally, you can start the application using.
```
docker compose up
```
You should be able to see the frontend at localhost:8020.