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The OpenRefine Python Client Library provides an interface to communicating with an OpenRefine server.

=================================== OpenRefine Python Client Library

The OpenRefine Python Client Library provides an interface to communicating with an OpenRefine <http://openrefine.org/>_ server.

Currently, the following API is supported:

  • project creation/import, deletion, export

  • facet computation

    • text
    • text filter
    • numeric
    • blank
    • starred & flagged
    • ... extensible class
  • 'engine': managing multiple facets and their computation results

  • sorting & reordering

  • clustering

  • transforms

  • transposes

  • single and mass edits

  • annotation (star/flag)

  • column

    • move
    • add
    • split
    • rename
    • reorder
    • remove
  • reconciliation

    • reconciliation judgment facet
    • guessing column type
    • querying reconciliation services preferences
    • perform reconciliation

Configuration

By default the OpenRefine server URL is http://127.0.0.1:3333 The environment variables OPENREFINE_HOST and OPENREFINE_PORT enable overriding the host & port.

In order to run all tests, a live Refine server is needed. No existing projects are affected.

Installation

(Someone with more familiarity with python's byzantine collection of installation frameworks is very welcome to improve/"best practice" all this.)

#. Install dependencies, which currently is urllib2_file:

sudo pip install -r requirements.txt

(If you don't have pip visit pip-installer.org <http://www.pip-installer.org/en/latest/installing.html#install-or-upgrade-pip>_)

#. Ensure you have a Refine server running somewhere and, if necessary, set the environment vars as above.

#. Run tests, build, and install:

python setup.py test # to do a subset, e.g., --test-suite tests.test_facet

python setup.py build

python setup.py install

There is a Makefile that will do this too, and more.

TODO

The API so far has been filled out from building a test suite to carry out the actions in David Huynh's Refine tutorial <http://davidhuynh.net/spaces/nicar2011/tutorial.pdf>_ which while certainly showing off a wide range of Refine features doesn't cover the entire suite. Notable exceptions currently include:

  • reconciliation support is useful but not complete
  • undo/redo
  • Freebase
  • join columns
  • columns from URL

Contribute

Pull requests with passing tests welcome! Source is at https://github.com/PaulMakepeace/refine-client-py

Useful Tools

One aspect of development is watching HTTP transactions. To that end, I found Fiddler <http://www.fiddler2.com/>_ on Windows and HTTPScoop <http://www.tuffcode.com/>_ invaluable. The latter won't URL-decode nor nicely format JSON but the Online JavaScript Beautifier <http://jsbeautifier.org/>_ will.

History

OpenRefine used to be called Google Refine, and this library used to be called the Google Refine Python Client Library.

Credits

Paul Makepeace, author, [email protected]

David Huynh, initial cut <http://markmail.org/message/jsxzlcu3gn6drtb7>_

Artfinder <http://www.artfinder.com/>_, inspiration

Some data used in the test suite has been used from publicly available sources,

  • louisiana-elected-officials.csv: from http://www.sos.louisiana.gov/tabid/136/Default.aspx

  • us_economic_assistance.csv: "The Green Book" <http://www.data.gov/raw/1554>_

  • eli-lilly.csv: ProPublica's "Docs for Dollars" <http://projects.propublica.org/docdollars/>_ leading to a Lilly Faculty PDF <http://www.lillyfacultyregistry.com/documents/EliLillyFacultyRegistryQ22010.pdf>_ processed by David Huynh's ScraperWiki script <http://scraperwiki.com/scrapers/eli-lilly-dollars-for-docs-scraper/edit/>_