Getting started

Main Page > Development > Getting Started

This wiki page describes getting started with Archivematica as a developer. For user and administrative manuals, please see http://www.archivematica.org.

Vital Stats

• Language: Python (primarily)
• License: AGPL
• VCS: git
• Major libraries: Django, gearman (Python API)
• Contribution guidelines
  • Coding style

Projects

Archivematica consists of several projects working together.

• Archivematica: Main repository containing the user-facing dashboard, task manager MCPServer and clients scripts for the MCPClient
• Storage Service: Responsible for moving files to Archivematica for processing, and from Archivematica into storage
• Format Policy Registry: Submodule shared between Archivematica and the Format Policy Registry (FPR) server that displays and updates FPR rules and commands

There are also several smaller repositories that support Archivematica in various ways. In general, you will not need these to develop on Archivematica.

• Development tools: Scripts to help with development. E.g. restarting services, workflow analysis
• FPR tools: All the tools, commands and rules used to populate the FPR database. Changes to the FPR should be submitted here.
• Archivematica Documentation: Documentation found at https://www.archivematica.org/en/docs/ for Archivematica
• Storage Service Documentation: Documentation found at https://www.archivematica.org/en/docs/ for the Storage Service
• Automation Tools: Scripts used to automate processing material through Archivematica
• Deployment: Ansible scripts for deploying and configuring Archivematica
• Deployment-Archivematica: Ansible playbook for Archivematica package install.
• Deployment-Archivematica-dev: Ansible playbook for Archivematica github install.
• Fixity checker: Commandline tool that assists in checking fixity for AIPs stored in Archivematica Storage Service instances.
• METS reader/writer: Library to create and parse METS files.
• agentarchives: Clients to retrieve, add, and modify records from archival management systems.
• Sample data: Data to test and show off Archivematica's processing
• History: Contains the pre-git history of Archivematica. Useful for checking the origins of code.

Installation

There are two main ways to run Archivematica in development.

1. Use ansible and vagrant to install Archivematica in a VM
2. Install Archivematica on your development machine
3. Alternate vagrant based installations exist as well

Ansible & Vagrant

To install and run Archivematica from source on a VM:

1. Checkout deployment repo
   • git clone https://github.com/artefactual/deploy-pub.git
   • cd deploy-pub/playbooks/archivematica
2. Install VirtualBox, Vagrant, Ansible
   • sudo apt-get install virtualbox vagrant (Ubuntu)
   • Vagrant must be at least 1.5 (it can also be downloaded from vagrantup.com)
     • vagrant --version
   • sudo pip install -U ansible
3. Download Ansible roles
   • ansible-galaxy install -f -r requirements.yml
4. (Optional) Change the branch by modifying vars-singlenode.yml
   • archivematica_src_am_version: "branch-name"
   • archivematica_src_ss_version: "branch-name"
5. Create virtual machine and provision it
   • vagrant up (it takes a while)
6. Login now available via:
   • vagrant ssh
7. Services available:
   • Archivematica - http://192.168.168.192
   • Archivematica Storage Service: http://192.168.168.192:8000 (user: test, pass: test)
8. Provisioning (via ansible) can be re-run with vagrant to update the code on the server
   • vagrant provision
9. To re-deploy a new branch to the same VM, update the branch variables in vars-singlenode.yml like step 4 described.
   • archivematica_src_am_version: "branch-name"
   • archivematica_src_ss_version: "branch-name"
   • This will probably require resetting the Archivematica installation as well. This can be done by adding variables to vars-singlenode.yml
   • archivematica_src_reset_am_all: "true" This will reset the Archivematica database, clear ElasticSearch and clear shared directories
   • archivematica_src_reset_ss_db: "true" This will reset the Storage Service database
   • For more variables to control deployment, see the README

Restarting services:

1. Restart the Archivematica dashboard
   • sudo /etc/init.d/apache2 start or sudo service apache2 restart
2. Restart the Storage Service
   • sudo service uwsgi restart
3. Restart nginx
   • sudo service uwsgi restart
   • sudo service nginx restart

Development Machine

See development environment setup instructions

Alternative Vagrant projects

• https://github.com/emltech/eml-archivematica-vagrant
• https://github.com/statsbiblioteket/archivematica-vagrant

Tests

Archivematica and the related projects have a small but growing test suite. We use py.test to run our tests, which should be listed as a requirement in the development/local requirements file.

To run the tests, go to the repository root and run py.test

See below for project-specific setup or changes to running the tests.

Archivematica

Before running Archivematica tests, set the following environment variable.

#!/usr/bin/fish
set -xg PYTHONPATH /usr/share/archivematica/dashboard/:/usr/lib/archivematica/archivematicaCommon/

#!/usr/bin/bash
export PYTHONPATH=$PYTHONPATH:/usr/share/archivematica/dashboard/:/usr/lib/archivematica/archivematicaCommon/

Storage Service

Before running Storage Service tests, set the following environment variables

#!/usr/bin/fish
set -xg PYTHONPATH (pwd)/storage_service  # The project root
set -xg DJANGO_SETTINGS_MODULE storage_service.settings.test
set -xg DJANGO_SECRET_KEY 'ADDKEY'

#!/usr/bin/bash
export PYTHONPATH=$(pwd)/storage_service  # The project root
export DJANGO_SETTINGS_MODULE=storage_service.settings.test
export DJANGO_SECRET_KEY='ADDKEY'