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Getting Started

The following steps will help you get wq-powered application up and running quickly.

I. Install wq

The easiest way to install wq is via the Python Package Index. Assuming you already have Python 3 installed, you can usually just run the following commands:

# Create virtual environment
python3 -m venv ./venv
. ./venv/bin/activate

# Install wq
python3 -m pip install wq==1.3.0b1
wq create

Note that the command name changed from wq start to wq create in wq 1.3.0b1.

When called without any arguments, the wq create command will prompt for several project attributes including the project name and web domain. wq create also asks whether to enable GIS support and/or Node.js/npm support. (Since both options require the installation of additional software, they are are disabled by default.) All of the prompts can also be specified as command-line arguments - see wq create –help for the full list.

Depending on your use case, you may want to follow either of the following more detailed installation guides.

Local Development (SQLite on Ubuntu or Windows)

Public Webserver (Apache & PostgreSQL on Ubuntu)

If you are unsure, start with the Local Development process. You will be able to deploy the same project to a public webserver later.

II. Define your Data Model

wq does not come with a canned data model by default. This makes it extremely flexible to adapt to a variety of project workflows, but means you need to think a bit about how you want to structure your data before continuing. The data schema you define will be used to create one or more database tables as well as the HTML forms for entering data.

See the following for more information on defining a data schema:

Data Model

Introduction to Django models and tips for creating them from an XLSForm definition.

Common Field Types

A comprehensive list of the common field / question types and conventions for using them in wq.

Nested Forms

Instructions for defining nested forms (“repeat groups” in XLSForm syntax) as well as user-definable attributes (e.g. EAV).

III. Customize your User Interface

Once your data model is defined and your REST API is running, wq will automatically generate fully functional “list”, “detail”, and “edit”/”new” views for managing the database. You can customize the UI by implementing custom views, input types, and/or other components.