Ensuring calls default to the values found by the Settings object in indicoio.config

indicoio/__init__.py

@@ -12,8 +12,16 @@ from indicoio.images.fer import fer
 from indicoio.images.features import facial_features
 from indicoio.images.features import image_features
 
-apis = ['political', 'posneg', 'sentiment', 'language', 'fer',
-        'facial_features', 'image_features', 'text_tags']
+apis = [
+    'political',
+    'posneg',
+    'sentiment',
+    'language',
+    'fer',
+    'facial_features',
+    'image_features',
+    'text_tags'
+]
 apis = dict((api, globals().get(api)) for api in apis)
 
 for api in apis:

indicoio/config.py

@@ -44,11 +44,11 @@ class Settings(ConfigParser.ConfigParser):
             os.getenv("INDICO_PASSWORD") or self.auth_settings.get('password')
         )
 
-settings = Settings(files=[
+SETTINGS = Settings(files=[
     os.path.expanduser("~/.indicorc"),
     os.path.join(os.getcwd(), '.indicorc')
 ])
 
-auth = settings.auth()
-cloud = settings.cloud()
-public_api_host = 'apiv1.indico.io'
+AUTH = SETTINGS.auth()
+CLOUD = SETTINGS.cloud()
+PUBLIC_API_HOST = 'apiv1.indico.io'

indicoio/images/features.py

@@ -6,7 +6,7 @@ import numpy as np
 from indicoio.utils import image_preprocess, api_handler
 import indicoio.config as config
 
-def facial_features(image, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def facial_features(image, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given an grayscale input image of a face, returns a 48 dimensional feature vector explaining that face.
     Useful as a form of feature engineering for face oriented tasks.
@@ -30,7 +30,7 @@ def facial_features(image, cloud=config.cloud, batch=False, auth=None, **kwargs)
     """
     return api_handler(image, cloud=cloud, api="facialfeatures", batch=batch, auth=auth, **kwargs)
 
-def image_features(image, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def image_features(image, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given an input image, returns a 2048 dimensional sparse feature vector explaining that image.
     Useful as a form of feature engineering for image oriented tasks.

indicoio/images/fer.py

@@ -6,7 +6,7 @@ import numpy as np
 from indicoio.utils import api_handler
 import indicoio.config as config
 
-def fer(image, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def fer(image, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given a grayscale input image of a face, returns a probability distribution over emotional state.
     Input should be in a list of list format, resizing will be attempted internally but for best

indicoio/text/lang.py

@@ -1,7 +1,7 @@
 from indicoio.utils import api_handler
 import indicoio.config as config
 
-def language(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def language(text, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given input text, returns a probability distribution over 33 possible
     languages of what language the text was written in.

indicoio/text/sentiment.py

@@ -2,7 +2,7 @@ from indicoio import JSON_HEADERS
 from indicoio.utils import api_handler
 import indicoio.config as config
 
-def political(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def political(text, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given input text, returns a probability distribution over the political alignment of the speaker.
 
@@ -30,7 +30,7 @@ def political(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
 
     return api_handler(text, cloud=cloud, api="political", batch=batch, auth=auth, **kwargs)
 
-def posneg(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def posneg(text, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given input text, returns a scalar estimate of the sentiment of that text.
     Values are roughly in the range 0 to 1 with 0.5 indicating neutral sentiment.

indicoio/text/tagging.py

@@ -1,7 +1,7 @@
 from indicoio.utils import api_handler
 import indicoio.config as config
 
-def text_tags(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
+def text_tags(text, cloud=config.CLOUD, batch=False, auth=None, **kwargs):
     """
     Given input text, returns a probability distribution over 100 document categories
 

indicoio/utils/__init__.py

@@ -13,16 +13,18 @@ def api_handler(arg, cloud, api, batch=False, auth=None, **kwargs):
     json_data = json.dumps(data)
 
     if cloud:
-        host = "%s.indico.domains"
+        host = "%s.indico.domains" % cloud
     else: 
         # default to indico public cloud
-        host = config.public_api_host
+        host = config.PUBLIC_API_HOST
 
     url = "http://%s/%s" % (host, api)
-
     if batch:
         url += "/batch"
 
+    if not auth:
+        auth = config.AUTH
+
     response = requests.post(url, data=json_data, headers=JSON_HEADERS, auth=auth).json()
     results = response.get('results', False)
     if results is False: