UUDigitalHumanitieslab / microcontact

Web application for the Microcontact project lead by Roberta d'Alessandro
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Microcontact

Microcontact. Language Variation and Change from the Italian heritage perspective is an ERC-funded research project that aims to understand language change from a syntactic microvariational perspective, by observing core syntactic aspects of Romance languages in contact. More information can be found here.

Configuration

There are default settings in microcontact.settings. It is recommended that you take some time to review these settings and override them where necessary, especially for production use. See the "Database" section below for comments on the DATABASES setting in particular.

For local development use, create a Python module in the project root that starts with from microcontact.settings import * and then selectively override settings. Your file will be automatically ignored by git if you call it config.py.

For production use, copy microcontact/settings.py to a separate file. Put this file elsewhere in the filesystem under restrictive access rights, then modify its contents. There are many settings that need to be overridden because of security considerations; please see the comments.

In either case, set the environment variable DJANGO_SETTINGS_MODULE to the module name of your customized settings in order to use it. Depending on location of your settings module, you may also need to set PYTHONPATH. For documentation, see the Django documentation on settings.

Google Maps API key

You need to obtain an API key for Google Maps in order for the frontend application to work. Save the key (with nothing else) in a file named .gmapikey in the project root directory. This file is ignored by Git.

Dependencies

Make sure that the following packages are installed using sudo apt-get install:

For the Python dependencies, create a Python 3 virtualenv and activate it. pip install pip-tools and then run pip-sync. For the JavaScript dependencies, install NPM, Bower and Grunt, then run npm install and bower install. For deployment, you can run bower install with the --production flag in order to skip development-only packages.

For audio conversion, get ffmpeg. See instructions for Windows, OS X and Ubuntu here.

For file type detection we use the python-magic package, which depends on libmagic being installed on your system.

Database

The default configuration in microcontact.settings assumes a SQLite database. SQLite and PostgreSQL are also the only database backends supported by the requirements.txt. If you choose a different backend, you will need to install additional libraries. For most backends, including PostgreSQL, you will also need to create a dedicated database and a dedicated user with all privileges on that database. For local development, the database user should also be able to create new databases in order to enable testing. See the Django settings reference for instructions on setting DATABASES.

In order to bootstrap your local database before first running the application, run python manage.py migrate. Run this command again after defining new migrations. In order to define a new migration (after modifying the database schema), run python manage.py makemigrations and edit the generated file. See the Django documentation on migrations for details.

Local development

Make sure that your virtual environment is activated, then run grunt. This will do many things:

All subprocesses log to the same single terminal that you run grunt from, so the output will be a mess at first. After that, however, you will be grateful for the combined output, as any server hiccups, test failures and compilation errors will automatically come to your attention from a single window. This process keeps running until you kill it with ctrl-c.

At your option, you may also run any of the tasks above separately. The required commands are listed below with pointers to further documentation. Refer to the Gruntfile.coffee for the definitions and configuration of the Grunt-based tasks.

In order to remove generated files but not the node_modules or the bower_components, run grunt clean:all (grunt-contrib-clean).

If you want to verify the optimized assets (see below) during development, you can override the STATICFILES_DIRS setting in your config.py as follows:

STATICFILES_DIRS = (
    os.path.join(BASE_DIR, 'dist'),
)

this will cause the Django application to take the index.html and other static assets from /dist instead of /.tmp. The development server will pick up the change while running, so you don't need to restart it. Note that livereload does not work when you serve from /dist.

Deployment

An optimized version of the static assets can be obtained by running grunt dist. The optimized files are put in the /dist project subdirectory. In this case, most of the external libraries are fetched from CDNs in their minified forms.

You are advised to run the Django-based backend as a WSGI application from your favourite HTTP server. See Deploying Django.

Serve the static assets under /static/.

Directory reference

project root                 (whatever you called it)
├── .editorconfig            notation conventions, in-VCS
├── .functional-tests        functional tests compiled to JS, out-of-VCS
├── .gitignore
├── .tmp/                    generated static assets for dev., out-of-VCS
├── Gruntfile.coffee         task configuration, in-VCS
├── README.md                this file, in-VCS
├── bower.json               listing of JS deps, in-VCS
├── bower_components/        JS deps during development, out-of-VCS
├── client                   static asset sources, in-VCS
│   ├── script
│   │   ├── *.coffee
│   │   └── *_test.coffee    unit tests belonging to *.coffee
│   ├── style/
│   └── template/
├── config.py                presumed to be written by you, out-of-VCS
├── dist/                    generated static assets for depl., out-of-VCS
├── functional-tests         functional test sources in Coffee, in-VCS
├── manage.py                backend manager, in-VCS
├── media/                   file uploads, out-of-VCS
├── microcontact             the Django project package, in-VCS
│   ├── *.py
│   └── *_test.py            unit tests belonging to *.py
├── node_modules/            Node and Grunt dependencies, out-of-VCS
├── package.json             listing of Node/Grunt deps, in-VCS
├── recordings               the Django API application package, in-VCS
│   ├── *.py
│   └── *_test.py            unit tests belonging to *.py
├── requirements.in          top-level Python package requirements, in-VCS
└── requirements.txt         generated pinned requirements, in-VCS

(c) 2016 Julian Gonggrijp (c) 2017 Digital Humanities Lab, Utrecht University