TST: Fix skipped unit tests in test_ga. Install python-gflags using p…

ci/requirements-2.7.pip

@@ -1,3 +1,4 @@
 blosc
 httplib2
 google-api-python-client == 1.2
+python-gflags == 2.0

ci/requirements-2.7.txt

@@ -20,4 +20,3 @@ patsy
 pymysql=0.6.3
 html5lib=1.0b2
 beautiful-soup=4.2.1
-python-gflags=2.0

ci/requirements-2.7_SLOW.txt

@@ -20,4 +20,3 @@ psycopg2
 pymysql
 html5lib
 beautiful-soup
-python-gflags

pandas/io/tests/test_ga.py

@@ -3,11 +3,14 @@
 
 import nose
 import pandas as pd
-from pandas import DataFrame
+from pandas import compat
 from pandas.util.testing import network, assert_frame_equal, with_connectivity_check
 from numpy.testing.decorators import slow
 import pandas.util.testing as tm
 
+if compat.PY3:
+    raise nose.SkipTest("python-gflags does not support Python 3 yet")
+
 try:
     import httplib2
     import pandas.io.ga as ga
@@ -17,6 +20,7 @@
 except ImportError:
     raise nose.SkipTest("need httplib2 and auth libs")
 
+
 class TestGoogle(tm.TestCase):
 
     _multiprocess_can_split_ = True
@@ -29,8 +33,7 @@ def test_remove_token_store(self):
         reset_default_token_store()
         self.assertFalse(os.path.exists(auth.DEFAULT_TOKEN_FILE))
 
-    @slow
-    @network
+    @with_connectivity_check("http://www.google.com")
     def test_getdata(self):
         try:
             end_date = datetime.now()
@@ -45,33 +48,34 @@ def test_getdata(self):
                 start_date=start_date,
                 end_date=end_date,
                 dimensions=['date', 'hour'],
-                parse_dates={'ts': ['date', 'hour']})
-
-            assert isinstance(df, DataFrame)
-            assert isinstance(df.index, pd.DatetimeIndex)
-            assert len(df) > 1
-            assert 'date' not in df
-            assert 'hour' not in df
-            assert df.index.name == 'ts'
-            assert 'avgTimeOnSite' in df
-            assert 'visitors' in df
-            assert 'newVisits' in df
-            assert 'pageviewsPerVisit' in df
+                parse_dates={'ts': ['date', 'hour']},
+                index_col=0)
+
+            self.assertIsInstance(df, pd.DataFrame)
+            self.assertIsInstance(df.index, pd.DatetimeIndex)
+            self.assertGreater(len(df), 1)
+            self.assertTrue('date' not in df)
+            self.assertTrue('hour' not in df)
+            self.assertEqual(df.index.name, 'ts')
+            self.assertTrue('avgTimeOnSite' in df)
+            self.assertTrue('visitors' in df)
+            self.assertTrue('newVisits' in df)
+            self.assertTrue('pageviewsPerVisit' in df)
 
             df2 = read_ga(
                 metrics=['avgTimeOnSite', 'visitors', 'newVisits',
                          'pageviewsPerVisit'],
                 start_date=start_date,
                 end_date=end_date,
                 dimensions=['date', 'hour'],
-                parse_dates={'ts': ['date', 'hour']})
+                parse_dates={'ts': ['date', 'hour']},
+                index_col=0)
 
             assert_frame_equal(df, df2)
 
         except AuthenticationConfigError:
             raise nose.SkipTest("authentication error")
 
-    @slow
     @with_connectivity_check("http://www.google.com")
     def test_iterator(self):
         try:
@@ -81,51 +85,50 @@ def test_iterator(self):
                 metrics='visitors',
                 start_date='2005-1-1',
                 dimensions='date',
-                max_results=10, chunksize=5)
+                max_results=10, chunksize=5,
+                index_col=0)
 
             df1 = next(it)
             df2 = next(it)
 
             for df in [df1, df2]:
-                assert isinstance(df, DataFrame)
-                assert isinstance(df.index, pd.DatetimeIndex)
-                assert len(df) == 5
-                assert 'date' not in df
-                assert df.index.name == 'date'
-                assert 'visitors' in df
+                self.assertIsInstance(df, pd.DataFrame)
+                self.assertIsInstance(df.index, pd.DatetimeIndex)
+                self.assertEqual(len(df), 5)
+                self.assertTrue('date' not in df)
+                self.assertEqual(df.index.name, 'date')
+                self.assertTrue('visitors' in df)
 
-            assert (df2.index > df1.index).all()
+            self.assertTrue((df2.index > df1.index).all())
 
         except AuthenticationConfigError:
             raise nose.SkipTest("authentication error")
 
     def test_v2_advanced_segment_format(self):
         advanced_segment_id = 1234567
         query = ga.format_query('google_profile_id', ['visits'], '2013-09-01', segment=advanced_segment_id)
-        assert query['segment'] == 'gaid::' + str(advanced_segment_id), "An integer value should be formatted as an advanced segment."
+        self.assertEqual(query['segment'], 'gaid::' + str(advanced_segment_id), "An integer value should be formatted as an advanced segment.")
 
     def test_v2_dynamic_segment_format(self):
         dynamic_segment_id = 'medium==referral'
         query = ga.format_query('google_profile_id', ['visits'], '2013-09-01', segment=dynamic_segment_id)
-        assert query['segment'] == 'dynamic::ga:' + str(dynamic_segment_id), "A string value with more than just letters and numbers should be formatted as a dynamic segment."
+        self.assertEqual(query['segment'], 'dynamic::ga:' + str(dynamic_segment_id), "A string value with more than just letters and numbers should be formatted as a dynamic segment.")
 
     def test_v3_advanced_segment_common_format(self):
         advanced_segment_id = 'aZwqR234'
         query = ga.format_query('google_profile_id', ['visits'], '2013-09-01', segment=advanced_segment_id)
-        assert query['segment'] == 'gaid::' + str(advanced_segment_id), "A string value with just letters and numbers should be formatted as an advanced segment."
+        self.assertEqual(query['segment'], 'gaid::' + str(advanced_segment_id), "A string value with just letters and numbers should be formatted as an advanced segment.")
 
     def test_v3_advanced_segment_weird_format(self):
         advanced_segment_id = '_aZwqR234-s1'
         query = ga.format_query('google_profile_id', ['visits'], '2013-09-01', segment=advanced_segment_id)
-        assert query['segment'] == 'gaid::' + str(advanced_segment_id), "A string value with just letters, numbers, and hyphens should be formatted as an advanced segment."
+        self.assertEqual(query['segment'], 'gaid::' + str(advanced_segment_id), "A string value with just letters, numbers, and hyphens should be formatted as an advanced segment.")
 
     def test_v3_advanced_segment_with_underscore_format(self):
         advanced_segment_id = 'aZwqR234_s1'
         query = ga.format_query('google_profile_id', ['visits'], '2013-09-01', segment=advanced_segment_id)
-        assert query['segment'] == 'gaid::' + str(advanced_segment_id), "A string value with just letters, numbers, and underscores should be formatted as an advanced segment."
-
+        self.assertEqual(query['segment'], 'gaid::' + str(advanced_segment_id), "A string value with just letters, numbers, and underscores should be formatted as an advanced segment.")
 
-    @slow
     @with_connectivity_check("http://www.google.com")
     def test_segment(self):
         try:
@@ -142,39 +145,41 @@ def test_segment(self):
                 end_date=end_date,
                 segment=-2,
                 dimensions=['date', 'hour'],
-                parse_dates={'ts': ['date', 'hour']})
-
-            assert isinstance(df, DataFrame)
-            assert isinstance(df.index, pd.DatetimeIndex)
-            assert len(df) > 1
-            assert 'date' not in df
-            assert 'hour' not in df
-            assert df.index.name == 'ts'
-            assert 'avgTimeOnSite' in df
-            assert 'visitors' in df
-            assert 'newVisits' in df
-            assert 'pageviewsPerVisit' in df
-
-            #dynamic
+                parse_dates={'ts': ['date', 'hour']},
+                index_col=0)
+
+            self.assertIsInstance(df, pd.DataFrame)
+            self.assertIsInstance(df.index, pd.DatetimeIndex)
+            self.assertGreater(len(df), 1)
+            self.assertTrue('date' not in df)
+            self.assertTrue('hour' not in df)
+            self.assertEqual(df.index.name, 'ts')
+            self.assertTrue('avgTimeOnSite' in df)
+            self.assertTrue('visitors' in df)
+            self.assertTrue('newVisits' in df)
+            self.assertTrue('pageviewsPerVisit' in df)
+
+            # dynamic
             df = read_ga(
                 metrics=['avgTimeOnSite', 'visitors', 'newVisits',
                          'pageviewsPerVisit'],
                 start_date=start_date,
                 end_date=end_date,
                 segment="source=~twitter",
                 dimensions=['date', 'hour'],
-                parse_dates={'ts': ['date', 'hour']})
+                parse_dates={'ts': ['date', 'hour']},
+                index_col=0)
 
-            assert isinstance(df, DataFrame)
+            assert isinstance(df, pd.DataFrame)
             assert isinstance(df.index, pd.DatetimeIndex)
-            assert len(df) > 1
-            assert 'date' not in df
-            assert 'hour' not in df
-            assert df.index.name == 'ts'
-            assert 'avgTimeOnSite' in df
-            assert 'visitors' in df
-            assert 'newVisits' in df
-            assert 'pageviewsPerVisit' in df
+            self.assertGreater(len(df), 1)
+            self.assertTrue('date' not in df)
+            self.assertTrue('hour' not in df)
+            self.assertEqual(df.index.name, 'ts')
+            self.assertTrue('avgTimeOnSite' in df)
+            self.assertTrue('visitors' in df)
+            self.assertTrue('newVisits' in df)
+            self.assertTrue('pageviewsPerVisit' in df)
 
         except AuthenticationConfigError:
             raise nose.SkipTest("authentication error")