It is advised to used the Docker images jaesivsm/jarr-server and jaesivsm/jarr-worker. However, the jaesivsm/jarr-front is build with the address of the production server as API URL. You'll then to rebuild it.
You can take inspiration in Dockerfiles/prod-example.yml which will provide you a working instance of JARR.
To run JARR you'll need at least Docker installed.
You'll also need pipenv even if there are undocumented ways around that.
# first clone the repository
git clone https://github.com/jaesivsm/JARR.git
# then copy Dockerfiles/prod-example.yml and edit it to your liking
# for the documentation here, we'll say that you use the example one
# first get inside the cloned repo
cd JARR
# ensure you have the proper packages installed
pipenv sync --dev
# Build base image for server and workers
make build-base
# bring up env
# /!\ You'll want to edit the example proposed below :
# * have your own configurations file in a directory of you're own
# * specify a proper directory for postgres to store your data in
make start-env COMPOSE_FILE=Dockerfiles/prod-example.yml
# create database inside the running postgres
# /!\ this command is for test purpose and create db and user without password
# you'll want to change that in production
make create-db COMPOSE_FILE=Dockerfiles/prod-example.yml
# create JARR tables
# /!\ this step will fail if you leave the default value for Database address,
# you'll want to replace it with "postgresql" in the jarr.json configuration file
make init-env COMPOSE_FILE=Dockerfiles/prod-example.ymlSome tasks will require you to run commands on either the server or the worker :
To start the scheduler that'll run all background processing, run :
docker-compose --file Dockerfiles/prod-example.yml exec jarr-worker pipenv run python3
Then in the python terminal
from jarr.crawler.main import scheduler
scheduler.apply_async()docker-compose --file Dockerfiles/prod-example.yml exec jarr-worker flask db upgrade