Giter Club home page Giter Club logo

ckanext-datastorer's Introduction

CKAN Datastorer Extension

The CKAN Datastorer Extension provides a Celery task for automatically
saving CKAN resources that link to csv and excel files into the datastore.

Installation

After activating your pyenv, install the sources via pip:

$ (pyenv) pip install -e git+git://github.com/okfn/ckanext-datastorer.git#egg=ckanext-datastorer

Install the requirements:

$ (pyenv) pip install -r ckanext-datastorer/pip-requirements.txt

Add the datastorer plugin to your configuration ini file:

ckan.plugins = datastorer <rest of plugins>...

Start the celery daemon. This can be done in development by:

paster celeryd # this is assuming a development.ini file

In production the daemon should be run with a different ini file and be run as an init script. The simplest way to do this is to install supervisor:

apt-get install supervisor

You can use this file as a template and add it to /etc/supservisor/conf.d:

https://github.com/okfn/ckan/blob/master/ckan/config/celery-supervisor.conf

Paster Command

A paster command is available, that lets you archive all resources or just those belonging to a specific package. The command is as follows:

paster datastorer update [package-id]

To queue the update to run in celery, use:

paster datastorer queue [package-id]

Developers

You can run the test suite from the ckanext-datastorer directory. The tests require nose, so install it first if you have not already done so:

$ pip install nose

To run the tests, you will need to be running a CKAN instance, and provide the API key of a sysadmin user on the tests configuration file located on:

ckanext/datastorer/tests/tests_config.cfg

Note: Make sure that celery is not running during the tests. Otherwise strange errors will occur!

Then, run nosetests from the ckanext-datastorer directory

$ nosetests ckanext/datastorer/tests

ckanext-datastorer's People

Contributors

amercader avatar domoritz avatar icmurray avatar johnglover avatar joshdata avatar kindly avatar rossjones avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.