www.scoap3.org

SCOAP3 is a one-of-its-kind partnership of over three-thousand libraries, key funding agencies and research centers in 43 countries and 3 intergovernmental organizations. Working with leading publishers, SCOAP3 has converted key journals in the field of high-energy physics to open access at no cost for authors. SCOAP3 centrally pays publishers for costs involved in providing their services, publishers, in turn, reduce subscription fees to all their customers, who can redirect these funds to contribute to SCOAP3. Each country contributes in a way commensurate to its scientific output in the field. In addition, existing open access journals are also centrally supported, removing any existing financial barrier for authors.

SCOAP3 journals are open for any scientist to publish without any financial barriers. Copyright stays with authors, and a permissive CC-BY license allows text- and data-mining. SCOAP3 addresses open access mandates at no burden for authors. All articles appear in the SCOAP3 repository for further distribution, as well as being open access on publishers’ websites.

docker-compose up

# Initialize database
docker-compose exec web scripts/recreate_records

First of all, keep in mind that we are creating a local environment here, so a lot of things that run on Docker, will run locally instead.

• Create a new virtualenv, install everything using pip install -r requirements.txt and pip install -e .
• Make sure that redis and rabbitmq have open ports for local access (6379 and 5672)
• Start the services (we keep ES, Redis, RabbitMQ and Postgres only) using docker-compose up redis indexer database rabbitmq -d
• Make sure that you create a folder that will be used for everything related to this project. In this case, we will be using ~/docker_scoap_data

NOTE

Sometimes, ES is almost at capacity and does not allow the user to modify or add data. To overcome this issue, use the following commands:

curl -XPUT -H "Content-Type: application/json" http://localhost:9200/_all/_settings -d '{"index.blocks.read_only_allow_delete": null}'

curl -XPUT -H "Content-Type: application/json" http://localhost:9200/_cluster/settings -d '{ "transient": { "cluster.routing.allocation.disk.threshold_enabled": false } }'

Make sure that the correct environment variables are exported and visible to the services. An example is following:

# db
export APP_SQLALCHEMY_DATABASE_URI=postgresql+psycopg2://scoap3:dbpass123@localhost:5432/scoap3

# celery + redis, used for tasks
export APP_CELERY_BROKER_URL=pyamqp://guest:guest@localhost:5672//
export APP_CELERY_RESULT_BACKEND=redis://localhost:6379/1
export CELERY_BROKER_URL=pyamqp://guest:guest@localhost:5672//
export CELERY_RESULT_BACKEND=redis://localhost:6379/1
export APP_CACHE_REDIS_URL=redis://localhost:6379/0
export APP_ACCOUNTS_SESSION_REDIS_URL=redis://localhost:6379/2

# es vars
export APP_SEARCH_ELASTIC_HOSTS=localhost
export APP_ES_BULK_TIMEOUT=240

# crawler vars
export APP_CRAWLER_HOST_URL=http://localhost:6800
export APP_CRAWLER_API_PIPELINE_URL=http://localhost:5555/api/task/async-apply
export APP_LAST_RUNS_PATH=.lastruns

# ALWAYS FALSE - related to UI issues, doesn't build if True
export APP_DEBUG=False
export APP_ASSETS_DEBUG=False
export ASSETS_DEBUG=False

Some additional variables that are absolutely necessary, but can be defined by the user, are the following:

export DOCKER_DATA=~/docker_scoap_data
export HEPCRAWL_SOURCE=~/scoap-repos/scoap3-hepcrawl
export APP_OAIHARVESTER_WORKDIR=~/docker_scoap_data/tmp/virtualenv/oaiharvest_workdir
export SCRAPY_FEED_URI=~/docker_scoap_data/tmp/virtualenv/scrapy_feed.json
export SCOAP_DEFAULT_LOCATION=~/docker_scoap_data/tmp/virtualenv/files/

Make sure that hepcrawl is in the correct path, and running. After following the instructions above, start the services.

Scoap3 has some scripts that need to be used in order to run the project, along with specific things that need to be done to make them work locally:

# This script recreates the db and the search indices
sh scripts/recreate_records --no-populate

After recreating the db, make sure that the location table is populated. In case it is not, you need to:

• make sure that SCOAP_DEFAULT_LOCATION is exported and not empty
• run scoap3 fixdb init_default_location to add the location in the db

Sometimes NPM has issues in the installation process, and in that case try to install:

sudo npm install -g node-sass clean-css clean-css-cli requirejs uglify-js --unsafe-perm=true --allow-root

After that you should be able to run sh scripts/clean_assets with no problem at all.

You can run the last remaining components (the scoap3 project itself, and the celery worker) as local services using honcho pip install honcho and then honcho start in the main scoap3 path. Honcho will use the Procfile to see what services to start.

NOTE

As shown in the config SERVER_NAME var, you need to use an alias for the localhost to run without an issue. Go to the etc/hosts file and add 127.0.0.1 web to the list of hosts. Now you can use web:5000 in the browser to access the Scoap3 UI.

Now you should have the following:

• Hepcrawl running (check the hepcrawl repo for instructions)
• ES, Redis, RabbitMQ, DB running in Docker
• Celery and Scoap3 running in Honcho

You can now harvest articles following the rules and cli commands found in the cli_harvest.py file.