Configparser for indico config file

.indicorc

@@ -0,0 +1,3 @@
+[private_cloud]
+url_root = 127.0.0.1
+

indicoio/config.py

@@ -1,5 +1,29 @@
 import os
 
-def get_api_root():
-    return os.environ.get("INDICO_PRIVATE_CLOUD_URL") or "http://apiv1.indico.io/"
-api_root = get_api_root()
+import ConfigParser
+
+settings = ConfigParser.ConfigParser()
+
+settings_paths = [
+    os.path.expanduser("~/.indicorc"),
+    os.path.join(os.getcwd(), '.indicorc')
+]
+
+settings.read(settings_paths)
+
+def get_section(parser, section):
+    try:
+        return dict(parser.items(section))
+    except ConfigParser.NoSectionError:
+        return {}
+
+auth_settings = get_section(settings, 'auth')
+private_cloud_settings = get_section(settings, 'private_cloud')
+
+api_root = (
+    os.getenv("INDICO_PRIVATE_CLOUD_URL") or 
+    private_cloud_settings.get('url_root') or 
+    "http://apiv1.indico.io/"
+)
+
+auth = (auth_settings.get('username'), auth_settings.get('password'))

tests/local/test_local.py

@@ -1,156 +0,0 @@
-import unittest
-import os
-
-import numpy as np
-
-from indicoio.local import political, sentiment, fer, facial_features, language, image_features, text_tags
-
-DIR = os.path.dirname(os.path.realpath(__file__))
-
-
-class FullAPIRun(unittest.TestCase):
-
-    def load_image(self, relpath, as_grey=False):
-        image_path = os.path.normpath(os.path.join(DIR, relpath))
-        image = skimage.io.imread(image_path, as_grey=True).tolist()
-        return image
-
-    def check_range(self, list, minimum=0.9, maximum=0.1, span=0.5):
-        vector = np.asarray(list)
-        self.assertTrue(vector.max() > maximum)
-        self.assertTrue(vector.min() < minimum)
-        self.assertTrue(np.ptp(vector) > span)
-
-    def test_text_tags(self):
-        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 'political_discussion' in max_keys[:5]
-        results = text_tags(text, top_n=5)
-        assert len(results) is 5
-        results = text_tags(text, threshold=0.1)
-        for v in results.values():
-            assert v >= 0.1
-
-    def test_political(self):
-        political_set = set(['Libertarian', 'Liberal', 'Conservative', 'Green'])
-        test_string = "Guns don't kill people, people kill people."
-        response = political(test_string)
-
-        self.assertTrue(isinstance(response, dict))
-        self.assertEqual(political_set, set(response.keys()))
-
-        test_string = "Save the whales"
-        response = political(test_string)
-
-        self.assertTrue(isinstance(response, dict))
-        assert response['Green'] > 0.5
-
-    def test_posneg(self):
-        test_string = "Worst song ever."
-        response = sentiment(test_string)
-
-        self.assertTrue(isinstance(response, float))
-        self.assertTrue(response < 0.5)
-
-        test_string = "Best song ever."
-        response = sentiment(test_string)
-        self.assertTrue(isinstance(response, float))
-        self.assertTrue(response > 0.5)
-
-    def test_good_fer(self):
-        fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
-        test_face = np.random.rand(48,48).tolist()
-        response = fer(test_face)
-
-        self.assertTrue(isinstance(response, dict))
-        self.assertEqual(fer_set, set(response.keys()))
-
-    def test_happy_fer(self):
-        test_face = self.load_image("../data/happy.png", as_grey=True)
-        response = fer(test_face)
-        self.assertTrue(isinstance(response, dict))
-        self.assertTrue(response['Happy'] > 0.5)
-
-    def test_fear_fer(self):
-        test_face = self.load_image("../data/fear.png", as_grey=True)
-        response = fer(test_face)
-        self.assertTrue(isinstance(response, dict))
-        self.assertTrue(response['Fear'] > 0.25)
-
-    def test_bad_fer(self):
-        fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
-        test_face = np.random.rand(56,56).tolist()
-        response = fer(test_face)
-
-        self.assertTrue(isinstance(response, dict))
-        self.assertEqual(fer_set, set(response.keys()))
-
-    def test_good_facial_features(self):
-        test_face = np.random.rand(48,48).tolist()
-        response = facial_features(test_face)
-
-        self.assertTrue(isinstance(response, list))
-        self.assertEqual(len(response), 48)
-        self.check_range(response)
-    
-    def test_good_image_features_greyscale(self):
-        test_image = np.random.rand(64, 64).tolist()
-        response = image_features(test_image)
-
-        self.assertTrue(isinstance(response, list))
-        self.assertEqual(len(response), 2048)
-        self.check_range(response)
-
-    def test_good_image_features_rgb(self):
-        test_image = np.random.rand(64, 64, 3).tolist()
-        response = image_features(test_image)
-
-        self.assertTrue(isinstance(response, list))
-        self.assertEqual(len(response), 2048)
-        self.check_range(response)
-
-    def test_language(self):
-        language_set = set([
-            'English',
-            'Spanish',
-            'Tagalog',
-            'Esperanto',
-            'French',
-            'Chinese',
-            'French',
-            'Bulgarian',
-            'Latin',
-            'Slovak',
-            'Hebrew',
-            'Russian',
-            'German',
-            'Japanese',
-            'Korean',
-            'Portuguese',
-            'Italian',
-            'Polish',
-            'Turkish',
-            'Dutch',
-            'Arabic',
-            'Persian (Farsi)',
-            'Czech',
-            'Swedish',
-            'Indonesian',
-            'Vietnamese',
-            'Romanian',
-            'Greek',
-            'Danish',
-            'Hungarian',
-            'Thai',
-            'Finnish',
-            'Norwegian',
-            'Lithuanian'
-        ])
-        language_dict = language('clearly an english sentence')
-        self.assertEqual(language_set, set(language_dict.keys()))
-        assert language_dict['English'] > 0.25
-
-
-if __name__ == "__main__":
-    unittest.main()