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INSTALL.rst

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Installation

First, create your working directory and cd into it. Clone the project into this directory:

$ git clone https://github.com/rero/sonar.git

You need to install poetry, it will handle the virtual environment creation for the project in order to sandbox our Python environment, as well as manage the dependency installation, among other things.

$ pyenv install 3.6.10
$ cd sonar
$ pyenv local 3.6.10
$ pip install poetry

Next, cd into the project directory and bootstrap the instance (this will install all Python dependencies and build all static assets):

$ cd sonar
$ poetry run ./scripts/bootstrap

Start all dependent services using docker-compose (this will start PostgreSQL, Elasticsearch 6, RabbitMQ and Redis):

$ docker-compose up -d

Make sure you have enough virtual memory for Elasticsearch in Docker:

# Linux
$ sysctl -w vm.max_map_count=262144

# macOS
$ screen ~/Library/Containers/com.docker.docker/Data/com.docker.driver.amd64-linux/tty
<enter>
linut00001:~# sysctl -w vm.max_map_count=262144

Next, create database tables, search indexes and message queues:

$ poetry run ./scripts/setup

Running

Start the webserver and the celery worker:

$ poetry run ./scripts/server

Start a Python shell:

$ poetry run ./scripts/console

Testing

Run the test suite via the provided script:

$ poetry run ./scripts/test

By default, end-to-end tests are skipped. You can include the E2E tests like this:

$ env E2E=yes poetry run ./scripts/test

For more information about end-to-end testing see pytest-invenio.

Production environment

You can use simulate a full production environment using the docker-compose.full.yml. You can start it like this:

$ ./docker/build-images.sh
$ docker-compose -f docker-compose.full.yml up -d
$ ./docker/wait-for-services.sh --full

Remember to create database tables, search indexes and message queues if not already done:

$ docker-compose -f docker-compose.full.yml run --rm web-ui "poetry run ./scripts/setup"

In addition to the normal docker-compose.yml, this one will start:

  • HAProxy (load balancer)
  • Nginx (web frontend)
  • UWSGI (application container)
  • Celery (background task worker)
  • Celery (background task beat)
  • Flower (Celery monitoring)