calais ====== calais -- Python interface to the OpenCalais API This Python module is a wrapper around the OpenCalais API as documented at http://www.opencalais.com/calaisAPI by Reuters. It makes REST calls to the OpenCalais API via HTTP POST, then parses and simplifies the JSON responses returned by OpenCalais. You can then access the response data in a much more pythonic manner. This module has been tested (*by hand*) with Python 2.5, 2.6 and 2.7 Dependencies ------------ - `simplejson <http://pypi.python.org/pypi/simplejson>`_ -- For Python 2.5 only. Basic Usage ----------- To use the OpenCalais API, first create a Calais() object, passing it your OpenCalais API key and a string identifier of your application: .. code-block:: python >>> from calais import Calais >>> API_KEY = "your-opencalais-api-key" >>> calais = Calais(API_KEY, submitter="python-calais demo") You can then use the ``analyze()`` method. It takes a string, containing the text to be analyzed by Calais and returns a ``CalaisResponse()`` object: .. code-block: python >>> result = calais.analyze("George Bush was the President of the United States of America until 2009. Barack Obama is the new President of the United States now.") Or you can use the ``analyze_url()`` method, which downloads the specified HTML page and passes it on to OpenCalais: .. code_block:: python >>> result2 = calais.analyze_url("http://www.bestofsicily.com/mafia.htm") The ``CalaisResponse`` class provides several helper methods that print information about the response: .. code-block:: python >>> result.print_summary() Calais Request ID: 0bfa1f51-4dec-4a82-aba6-a9f8243a94fd Title: Language: English Extractions: 4 entities 1 topics 2 relations >>> result.print_topics() Politics >>> result.print_entities() Person: Barack Obama (0.29) Country: United States of America (0.43) Person: George Bush (0.43) Country: United States (0.29) >>> result.print_relations() PersonPoliticalPast person:George Bush position:President PersonPolitical person:Barack Obama position:President of the United States Or you can access the results directly: .. code-block:: python >>> print result.entities["name"] Barack Obama You can also set processing and user directives before you make an ``analyze()`` call: .. code-block:: python >>> calais.user_directives["allowDistribution"] = "true" >>> result3 = calais.analyze("Some non-confidential text", external_id=calais.get_random_id()) Please report bugs or feature requests at the Google Code issue tracker for this project at http://code.google.com/p/python-calais/issues/list This project is sponsored by A115 Ltd. (www.a115.bg/en/) .. note:: I (James Mills) have assumed maintenance of this module and package to tidy up the code base and maintain a published version of the calais python library available to other via PyPi. This fork is maintained at my Bitbucket repository https://bitbucket.org/prologic/calais and this library is used by the spyda web crawler, article extraction and entity matching tool(s) and library located at https://bitbucket.org/prologic/spyda which was developed for `Griffith University's eResearch Services <eresearch.griffith.edu.au>`_.