new README with video demo

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# OpenRefine Python Client with extended command line interface
The [OpenRefine Python Client Library from PaulMakepeace](https://github.com/PaulMakepeace/refine-client-py) provides an interface to communicating with an [OpenRefine](http://openrefine.org) server. This fork extends the command line interface (CLI) and supports communication between docker containers.
## Download
One-file-executables:
* Linux: [openrefine-client_0-3-4_linux-64bit](https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_linux-64bit) (4,7 MB)
* Windows: [openrefine-client_0-3-4_windows.exe](https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_windows.exe) (4,9 MB)
* Mac: [openrefine-client_0-3-4_mac](https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_mac) (4,4 MB)
For native Python installation on Windows, Mac or Linux see [Installation](#installation) below.
## Peek
A short video loop that demonstrates the basic features (list, create, apply, export)
![video loop that demonstrates basic features](openrefine-client-peek.gif)
## Usage
Command line interface:
- list all projects: `--list`
- create project from file: `--create [FILE]`
- apply [rules from json file](http://kb.refinepro.com/2012/06/google-refine-json-and-my-notepad-or.html): `--apply [FILE.json] [PROJECTID/PROJECTNAME]`
- export project to file: `--export [PROJECTID/PROJECTNAME] --output=FILE.tsv`
- templating export: `--export "My Address Book" --template='{ "friend" : {{jsonize(cells["friend"].value)}}, "address" : {{jsonize(cells["address"].value)}} }' --prefix='{ "address" : [' --rowSeparator ',' --suffix '] }' --filterQuery="^mary$"`
- show project metadata: `--info [PROJECTID/PROJECTNAME]`
- delete project: `--delete [PROJECTID/PROJECTNAME]`
- check `--help` for further options...
If you are familiar with python you may try all functions interactively (`python -i refine.py`) or use this library in your own python scripts. Some Examples:
* show version of OpenRefine server: `refine.RefineServer().get_version()`
* show total rows of project 2151545447855: `refine.RefineProject(refine.RefineServer(),'2151545447855').do_json('get-rows')['total']`
* compute clusters of project 2151545447855 and column key: `refine.RefineProject(refine.RefineServer(),'2151545447855').compute_clusters('key')`
## Configuration
By default the OpenRefine server URL is [http://127.0.0.1:3333](http://127.0.0.1:3333)
The environment variables `OPENREFINE_HOST` and `OPENREFINE_PORT` enable overriding the host & port as well as the command line options `-H` and `-P`.
## Installation
Install dependencies, which currently is `urllib2_file`:
```
sudo pip install -r requirements.txt
```
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.
## Credits
[Paul Makepeace](http://paulm.com), author
David Huynh, [initial cut](<http://markmail.org/message/jsxzlcu3gn6drtb7)
[Artfinder](http://www.artfinder.com), inspiration
[Felix Lohmeier](https://felixlohmeier.de), extended the CLI features
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/)

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===================================
OpenRefine Python Client Library
===================================
The OpenRefine Python Client Library provides an interface to
communicating with an `OpenRefine <http://openrefine.org/>`_ server.
Download
========
One-file-executables:
* Linux: `openrefine-client_0-3-4_linux-64bit <https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_linux-64bit>`_ (4,7 MB)
* Windows: `openrefine-client_0-3-4_windows.exe <https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_windows.exe>`_ (4,9 MB)
* Mac: `openrefine-client_0-3-4_mac <https://github.com/opencultureconsulting/openrefine-client/releases/download/v0.3.4/openrefine-client_0-3-4_mac>`_ (4,4 MB)
For native Python installation on Windows, Mac or Linux see `Installation <#installation>`_ below.
Usage
=====
Command line interface:
- list all projects: ``python refine.py --list``
- create project from file: ``python refine.py --create [FILE]``
- apply `rules from json file <http://kb.refinepro.com/2012/06/google-refine-json-and-my-notepad-or.html>`_: ``python refine.py --apply [FILE.json] [PROJECTID/PROJECTNAME]``
- export project to file: ``python refine.py --export [PROJECTID/PROJECTNAME] --output=FILE.tsv``
- templating export: ``python refine.py --export "My Address Book" --template='{ "friend" : {{jsonize(cells["friend"].value)}}, "address" : {{jsonize(cells["address"].value)}} }' --prefix='{ "address" : [' --rowSeparator ',' --suffix '] }' --filterQuery="^mary$"``
- show project metadata: ``python refine.py --info [PROJECTID/PROJECTNAME]``
- delete project: ``python refine.py --delete [PROJECTID/PROJECTNAME]``
- check ``python refine.py --help`` for further options...
If you are familiar with python you may try all functions interactively (``python -i refine.py``) or use this library in your own python scripts. Some Examples:
* show version of OpenRefine server: ``refine.RefineServer().get_version()``
* show total rows of project 2151545447855: ``refine.RefineProject(refine.RefineServer(),'2151545447855').do_json('get-rows')['total']``
* compute clusters of project 2151545447855 and column key: ``refine.RefineProject(refine.RefineServer(),'2151545447855').compute_clusters('key')``
Features
=============
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.
Executables may be built with `pyinstaller <http://www.pyinstaller.org>`_.
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, <paulm@paulm.com>
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/>`_

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