Harvest

Harvest is a Django-based Python and Javascript toolkit for building web applications to integrate, explore, and report on data. Harvest makes it easy to bootstrap from your relational tables to a Django app with a simple query-builder and reporting interface that automatically uses the relations between your data models.

Support

If you encounter problems getting started with Harvest, try our chatroom or our Google Group.

Install

$ pip install harvest

Harvest CLI

Dependencies

This version of Harvest requires Python 2.6 or 2.7.

Start A New Project

$ harvest init [--verbose] [--no-env] [--no-input] project_name

This command performs the following steps:

Create a new virtualenv environment (name project_name-env)
Installs Django
Creates a starter project using the built-in Harvest template
Installs the base dependencies
Syncs and migrates a SQLite database, this requires you to answer a couple prompts (unless --no-input is passed)
Collects the static CSS and JavaScript files (mainly due to Cilantro)
Prints out a message to perform a couple commands in your shell

Arguments

project_name - The name of the project which must be a valid Python identifier since it will be an importable Python package. This means it can only contain alphanumeric characters and underscores and cannot start with a number, such as myproject, my_project, and project1, but not 1project, my-project or -myproject.

Options

--verbose - Pass to get all output printed to stdout. Multiple flags can be passed to increase the verbosity, e.g. -vv.

--no-env - Pass to prevent creating a virtualenv. If set, it is assumed the virtualenv is active prior to running this command to ensure dependencies are installed in the correct site-packages directory.

--no-input - Pass to prevent being prompted during the setup. This currently includes the prompt for setting up a superuser during the database sync. This is primarily useful for performing scripted builds.

--template - Specify a template to base your Harvest application on. By default harvest init will base its build off of https://github.com/cbmi/harvest-template. By passing a URL to this option harvest init will attempt to bootstrap the project based on the endpoint specified. Additionally, if your provided template contains a Fabric fabfile containing a harvest_bootstrap task the init command will offload all bootstrapping tasks beyond creating the virtualenv and installing of dependencies to the harvest_bootstrap task. This could be useful in situations where further assumptions can be made about a new Harvest deployment (i.e. containerization, use of a specific DB, specific Django models, etc.).

--venv-wrap - If you are using virtualenvwrapper to handle your python virtual environments you can set this flag to create a virtualenv in accordance with the conventions of that utility -- The name of your environment will correspond to your project name and will be created in the directory specified by the WORKON_HOME environment variable.

Post-Setup

After creating a new Harvest project, the next step is to define a few Django models. Run python bin/manage.py avocado check to see what needs to be further setup as well as optional settings and dependencies that can be installed.

Update Harvest

This command updates itself to the lastest stable version from PyPi.

$ harvest update

Install Demo

This command installs one of the Harvest demos.

$ harvest init-demo [--verbose] [--no-env] demo_name