FIX: multi api calls for private cloud

This commit is contained in:
Madison May
2015-06-11 15:57:00 -04:00
parent 6c91bda343
commit 29b190d1d2
+41 -15
View File
@@ -6,8 +6,12 @@ from indicoio.utils.errors import IndicoError
CLIENT_SERVER_MAP = dict((api, api.strip().replace("_", "").lower()) for api in API_NAMES)
SERVER_CLIENT_MAP = dict((v, k) for k, v in CLIENT_SERVER_MAP.iteritems())
AVAILABLE_APIS = {
'text': TEXT_APIS,
'image': IMAGE_APIS
}
def multi(data, type, apis, available, batch=False, **kwargs):
def multi(data, datatype, apis, batch=False, **kwargs):
"""
Helper to make multi requests of different types.
@@ -22,23 +26,39 @@ def multi(data, type, apis, available, batch=False, **kwargs):
:rtype: Dictionary of api responses
"""
# Client side api name checking - strictly only accept func name api
available = AVAILABLE_APIS.get(datatype)
invalid_apis = [api for api in apis if api not in available]
if invalid_apis:
raise IndicoError("%s are not valid %s APIs. Please reference the available APIs below:\n%s"
% (", ".join(invalid_apis), type, ", ".join(available))
)
raise IndicoError(
"%s are not valid %s APIs. Please reference the available APIs below:\n%s"
% (", ".join(invalid_apis), datatype, ", ".join(available))
)
# Convert client api names to server names before sending request
apis = map(CLIENT_SERVER_MAP.get, apis)
result = api_handler(data, url_params = {"apis":apis, "batch":batch}, **kwargs)
cloud = kwargs.pop("cloud", None)
api_key = kwargs.pop('api_key', None)
result = api_handler(
data,
cloud=cloud,
api='apis',
url_params={
"apis":apis,
"batch":batch,
"api_key":api_key
},
**kwargs
)
return handle_response(result)
def handle_response(result):
# Parse out the results to a dicionary of api: result
return dict((SERVER_CLIENT_MAP[api], parsed_response(api, res))
for api, res in result.iteritems())
def predict_text(input_text, apis=TEXT_APIS, cloud=None, batch=False, api_key=None, **kwargs):
def predict_text(input_text, apis=TEXT_APIS, **kwargs):
"""
Given input text, returns the results of specified text apis. Possible apis
include: [ 'text_tags', 'political', 'sentiment', 'language' ]
@@ -60,19 +80,22 @@ def predict_text(input_text, apis=TEXT_APIS, cloud=None, batch=False, api_key=No
:rtype: Dictionary of api responses
"""
cloud = kwargs.pop('cloud', None)
batch = kwargs.pop('batch', False)
api_key = kwargs.pop('api_key', None)
return multi(
api="apis",
data=input_text,
type="text",
available = TEXT_APIS,
datatype="text",
cloud=cloud,
batch=batch,
api_key=api_key,
apis=apis,
**kwargs)
**kwargs
)
def predict_image(image, apis=IMAGE_APIS, cloud=None, batch=False, api_key=None, **kwargs):
def predict_image(image, apis=IMAGE_APIS, **kwargs):
"""
Given input image, returns the results of specified image apis. Possible apis
include: ['fer', 'facial_features', 'image_features']
@@ -95,16 +118,19 @@ def predict_image(image, apis=IMAGE_APIS, cloud=None, batch=False, api_key=None,
:rtype: Dictionary of api responses
"""
cloud = kwargs.pop('cloud', None)
batch = kwargs.pop('batch', False)
api_key = kwargs.pop('api_key', None)
return multi(
api="apis",
data=image_preprocess(image, batch=batch),
type="image",
available=IMAGE_APIS,
datatype="image",
cloud=cloud,
batch=batch,
api_key=api_key,
apis=apis,
**kwargs)
**kwargs
)
def parsed_response(api, response):
result = response.get('results', False)