Tests for updated text tags api

CHANGES.txt

@@ -13,3 +13,4 @@ v0.4.4, Thu Sep 25 -- Added dependencies installation to setup.py
 v0.4.5, Thu Sep 25 -- Added interface to local indico server
 v0.4.6, Fri Oct 27 -- Updated to point to new indico api servers, cleaner REST API
 v0.4.8, Fri Nov 7 -- Updated API interface to include new text tags API
+v0.4.11, Wed Dec 18 -- Updated tests for text tags

indicoio/__init__.py

@@ -3,7 +3,7 @@ import indicoio.config as config
 
 JSON_HEADERS = {'Content-type': 'application/json', 'Accept': 'text/plain'}
 
-Version, version, __version__, VERSION = ('0.4.5',) * 4
+Version, version, __version__, VERSION = ('0.4.11',) * 4
 
 from indicoio.text.sentiment import political, posneg
 from indicoio.text.sentiment import posneg as sentiment

setup.py

@@ -8,7 +8,7 @@ except ImportError:
 
 setup(
     name="IndicoIo",
-    version='0.4.8',
+    version='0.4.11',
     packages=[
         "indicoio",
         "indicoio.text",

tests/remote/test_remote.py

@@ -23,22 +23,10 @@ class FullAPIRun(unittest.TestCase):
         self.assertTrue(np.ptp(vector) > span)
 
     def test_text_tags(self):
-        expected_keys = set(['fashion', 'art', 'energy', 'economics', 'entrepreneur', 
-                             'books', 'politics', 'gardening', 'nba', 'conservative', 
-                             'technology', 'startups', 'relationships', 'education',
-                             'humor', 'psychology', 'bicycling', 'investing', 'travel',
-                             'cooking', 'christianity', 'environment', 'religion', 'health', 
-                             'hockey', 'pets', 'music', 'soccer', 'guns', 'gaming', 'jobs',
-                             'business', 'nature', 'food', 'cars', 'photography', 'philosophy',
-                             'geek', 'sports', 'baseball', 'news', 'television', 'entertainment',
-                             'parenting', 'comics', 'science', 'nfl','programming',
-                             'personalfinance', 'atheism', 'movies', 'anime', 'fitness',
-                             'military', 'realestate', 'history'])
         text = "On Monday, president Barack Obama will be..."
         results = text_tags(text)
         max_keys = sorted(results.keys(), key=lambda x:results.get(x), reverse=True)
-        assert 'politics' in max_keys[:3]
-        self.assertFalse(set(results.keys()) - expected_keys)
+        assert 'political_discussion' in max_keys[:5]
 
     def test_political(self):
         political_set = set(['Libertarian', 'Liberal', 'Conservative', 'Green'])