Initial test coverage for new configuration system

This commit is contained in:
Anne Carlson
2015-02-26 18:50:20 -05:00
committed by Madison May
parent 6b9251f4f5
commit dc47fe5b0a
7 changed files with 192 additions and 112 deletions
+123
View File
@@ -0,0 +1,123 @@
indicoio-python
===============
A wrapper for a series of APIs made by indico.
Check out the main site on:
http://indico.io
Our APIs are totally free to use, and ready to be used in your
application. No data or training required.
Installation
------------
::
pip install indicoio
Documentation
-------------
Available at `indico.reame.io <http://indico.readme.io/v1.0/docs>`__
Current APIs
------------
Right now this wrapper supports the following apps:
- Positive/Negative Sentiment Analysis
- Political Sentiment Analysis
- Image Feature Extraction
- Facial Emotion Recognition
- Facial Feature Extraction
- Language Detection
- Text Topic Tagging
Examples
--------
::
>>> import numpy as np
>>> from indicoio import political, sentiment, fer, facial_features, language
>>> political("Guns don't kill people. People kill people.")
{u'Libertarian': 0.47740164630834825, u'Green': 0.08454409540443657, u'Liberal': 0.16617097211030055, u'Conservative': 0.2718832861769146}
>>> sentiment('Worst movie ever.')
{u'Sentiment': 0.07062467665597527}
>>> sentiment('Really enjoyed the movie.')
{u'Sentiment': 0.8105182526856075}
>>> test_text = "Facebook blog posts about Android tech make better journalism than most news outlets."
>>> tag_dict = text_tags(test_text)
>>> sorted(tag_dict.keys(), key=lambda x: tag_dict[x], reverse=True)[:3]
[u'startups_and_entrepreneurship', u'investment', u'business']
>>> text_tags(test_text, threshold=0.1) # return only keys with value > 0.1
{u'startups_and_entrepreneurship': 0.21888586688354486}
>>> text_tags(test_text, top_n=1) # return only keys with top_n values
{u'startups_and_entrepreneurship': 0.21888586688354486}
>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()
>>> fer(test_face)
{u'Angry': 0.08843749137458341, u'Sad': 0.39091163159204684, u'Neutral': 0.1947947999669361, u'Surprise': 0.03443785859010413, u'Fear': 0.17574534848440568, u'Happy': 0.11567286999192382}
>>> facial_features(test_face)
[0.0, -0.02568680526917187, 0.21645604230056517, -0.1519435786033145, -0.5648621854611555, 3.0607368045577226, 0.11434321880792693, -0.02163810928547493, -0.44224330594186484, 0.3024315632285246, -2.6068048934495276, 2.497798330306638, 3.040558335205844, 0.741045340525325, 0.37198135618478817, -0.33132377802172325, -0.9804190889833034, 0.5046575784709395, -0.5609132323152847, 1.679107064439151, 0.6825037853544341, -1.5977176226648016, 1.8959464303080562, -0.7812860715595836, -2.998394007543733, -0.22637273967347724, -0.9642457010679496, 1.4557274834236749, 2.412244419186633, 2.3151771738421965, 0.7881483386786367, 1.6622850935863422, 0.1304768990234367, 1.9344501393866649, 3.1271558035162914, -0.10250886439220543, 1.4921395116492966, 2.761645355670677, 1.6903473594991179, 1.009209807271491, 0.07273926986120445, -1.4941708135718021, -2.082786362439631, 1.0160924044870847, 2.5326580674673895, -0.8328208491083264, 2.0390177029762935, 3.0342637531932777]
>>> language_dict = language('Quis custodiet ipsos custodes')
>>> sorted(language_dict.keys(), key=lambda x: language_dict[x], reverse=True)[:5]
[u'Latin', u'Dutch', u'Greek', u'Portuguese', u'Spanish']
>>> language_dict
{u'Swedish': 0.00033330636691921914, u'Lithuanian': 0.007328693814717631, u'Vietnamese': 0.0002686116137658802, u'Romanian': 8.133913804076592e-06, ...}
Batch API Access
----------------
If you'd like to use our batch api interface, please send an email to contact@indico.io.
from indicio import batch\_sentiment batch\_sentiment(['Text
to analyze', 'More text'], auth=("example@example.com",
"\*\*\*\*\*\*\*\*"))
::
Authentication credentials can also be set as the environment variables "INDICO_USERNAME" and "INDICO_PASSWORD" or as 'username' and 'password' in indicorc
Private Cloud API Access
------------------------
If you'd like to use our private cloud interface, please send an email to contact@indico.io.
from indicio import sentiment sentiment("Text to analyze",
hostname="http://exampleprivatecloud.io/",
auth=("example@example.com", "\*\*\*\*\*\*\*\*"))
::
Private cloud hostnames can also be set as the environment variable "INDICO_PRIVATE_CLOUD_URL" or as 'hostname' in indicorc
indicorc
------------------------
Indicoio-python will look first for $HOME/.indicorc then ./.indicorc for the optional configuration file. The indicorc can be used to set an authentication username and password as well as the private cloud hostname, so they don't need to be specified for every call. All sectiions are optional.
Here is an example of a valid indicorc file:
[auth] username = test@example.com password = secret
[private\_cloud] hostname = example.indico.io \`\`\`