Skip to content

Latest commit

 

History

History
133 lines (88 loc) · 3.48 KB

INSTALL.rst

File metadata and controls

133 lines (88 loc) · 3.48 KB
Raw

Installation

First you need to install pipenv, 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.

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

$ docker-compose up -d

Note

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, bootstrap the instance (this will install all Python dependencies and build all static assets):

$ ./scripts/bootstrap

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

$ ./scripts/setup

Running

Start the webserver and the celery worker:

$ ./scripts/server

Start a Python shell:

$ ./scripts/console

Upgrading

In order to upgrade an existing instance simply run:

$ ./scripts/update

Testing

Run the test suite via the provided script:

$ ./run-tests.sh

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

$ env E2E=yes ./run-tests.sh

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

Documentation

You can build the documentation with:

$ pipenv run build_sphinx

Production environment

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

$ docker build --rm -t rero-mef-base:latest -f Dockerfile.base .
$ docker-compose -f docker-compose.full.yml up -d

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)
  • Flower (Celery monitoring)