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e6ae34cb0bdb4980b40c36dbd0fcd41d22644a03
IndicoIo-python/tests/test_remote.py
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Chris Lee e6ae34cb0b ADD: ImageRecognition
2015-09-11 01:20:06 -04:00

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#!/usr/bin/python
# -*- coding: utf-8 -*-
import unittest
import os, random
from PIL import Image
from requests import ConnectionError
from nose.plugins.skip import Skip, SkipTest
from indicoio import config
from indicoio import political, sentiment, fer, facial_features, facial_localization, content_filtering, language, image_features, text_tags
from indicoio import batch_political, batch_sentiment, batch_fer, batch_content_filtering, batch_facial_features
from indicoio import batch_language, batch_image_features, batch_text_tags
from indicoio import keywords, batch_keywords
from indicoio import sentiment_hq, batch_sentiment_hq
from indicoio import twitter_engagement, batch_twitter_engagement
from indicoio import named_entities, batch_named_entities
from indicoio import intersections, analyze_image, analyze_text, batch_analyze_image, batch_analyze_text
from indicoio.utils.errors import IndicoError
DIR = os.path.dirname(os.path.realpath(__file__))
class BatchAPIRun(unittest.TestCase):
def setUp(self):
self.api_key = config.api_key
config.url_protocol = "http:"
if not all(self.api_key):
raise SkipTest
def tearDown(self):
config.url_protocol = "https:"
def test_batch_texttags(self):
test_data = ["On Monday, president Barack Obama will be..."]
response = text_tags(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
def test_batch_keywords(self):
test_data = ["A working api is key to the success of our young company"]
words = [set(text.lower().split()) for text in test_data]
response = keywords(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(set(response[0].keys()).issubset(words[0]))
def test_batch_posneg(self):
test_data = ['Worst song ever', 'Best song ever']
response = sentiment(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(response[0] < 0.5)
def test_batch_sentiment_hq(self):
test_data = ['Worst song ever', 'Best song ever']
response = sentiment_hq(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(response[0] < 0.5)
def test_batch_political(self):
test_data = ["Guns don't kill people, people kill people."]
response = political(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
def test_batch_fer(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = fer(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], dict))
def test_batch_content_filtering(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = content_filtering(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], float))
def test_batch_fer_bad_b64(self):
test_data = ["$bad#FI jeaf9(#0"]
self.assertRaises(IndicoError, fer, test_data, api_key=self.api_key)
def test_batch_fer_good_b64(self):
test_data = ["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"]
response = fer(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], dict))
def test_batch_fer_filepath(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/fear.png"))]
response = fer(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], dict))
def test_fer_detect(self):
test_data = os.path.normpath(os.path.join(DIR, "data/fear.png"))
response = fer(test_data, api_key=self.api_key, detect=True)
self.assertIsInstance(response, list)
self.assertEqual(len(response), 1)
self.assertIn("location", response[0])
def test_batch_fer_pil_image(self):
test_data = [Image.open(os.path.normpath(os.path.join(DIR, "data/fear.png")))]
response = fer(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], dict))
def test_batch_fer_nonexistant_filepath(self):
test_data = ["data/unhappy.png"]
self.assertRaises(IndicoError, fer, test_data, api_key=self.api_key)
def test_batch_facial_features(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = facial_features(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], list))
self.assertEqual(len(response[0]), 48)
# TODO: uncomment this test once the remote server is updated to
# deal with image_urls
# def test_batch_image_urls(self):
# test_data = ['http://textfac.es/static/ico/favicon.png',
# 'http://textfac.es/static/ico/favicon.png']
# response = batch_facial_features(test_data, auth=self.auth)
# self.assertTrue(isinstance(response, list))
# self.assertTrue(isinstance(response[0], list))
# self.assertEqual(len(response[0]), 48)
# TODO: add tests to test when one url is incorrect once we
# have decided how we are dealing with them
def test_batch_image_features_greyscale(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = image_features(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], list))
self.assertEqual(len(response[0]), 2048)
def test_batch_image_features_rgb(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48rgb.png"))]
response = image_features(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], list))
self.assertEqual(len(response[0]), 2048)
def test_batch_language(self):
test_data = ['clearly an english sentence']
response = language(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(response[0]['English'] > 0.25)
def test_batch_named_entities(self):
batch = ["London Underground's boss Mike Brown warned that the strike ..."]
expected_entities = ("London Underground", "Mike Brown")
expected_keys = set(["categories", "confidence"])
entities = named_entities(batch)[0]
for entity in expected_entities:
assert entity in expected_entities
assert not (set(entities[entity]) - expected_keys)
def test_batch_multi_api_image(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png")),
os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = analyze_image(test_data, apis=config.IMAGE_APIS, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.IMAGE_APIS))
self.assertTrue(isinstance(response["fer"], list))
def test_batch_multi_api_text(self):
test_data = ['clearly an english sentence']
response = analyze_text(test_data, apis=config.TEXT_APIS, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.TEXT_APIS))
def test_default_multi_api_text(self):
test_data = ['clearly an english sentence']
response = analyze_text(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.TEXT_APIS))
def test_multi_api_bad_api(self):
self.assertRaises(IndicoError,
analyze_text,
"this shouldn't work",
apis=["sentiment", "somethingbad"])
def test_multi_bad_mixed_api(self):
self.assertRaises(IndicoError,
analyze_text,
"this shouldn't work",
apis=["fer", "sentiment", "facial_features"])
def test_batch_multi_bad_mixed_api(self):
self.assertRaises(IndicoError,
analyze_text,
["this shouldn't work"],
apis=["fer", "sentiment", "facial_features"])
def test_batch_set_cloud(self):
test_data = ['clearly an english sentence']
self.assertRaises(ConnectionError,
language,
test_data,
api_key=self.api_key,
cloud='invalid/cloud')
class FullAPIRun(unittest.TestCase):
def setUp(self):
self.api_key = config.api_key
def check_range(self, _list, minimum=0.9, maximum=0.1, span=0.5):
vector = list(flatten(_list))
_max = max(vector)
_min = min(vector)
self.assertTrue(max(vector) > maximum)
self.assertTrue(min(vector) < minimum)
self.assertTrue(_max - _min > 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_keywords(self):
text = "A working api is key to the success of our young company"
words = set(text.lower().split())
results = keywords(text)
sorted_results = sorted(results.keys(), key=lambda x:results.get(x), reverse=True)
assert 'api' in sorted_results[:3]
self.assertTrue(set(results.keys()).issubset(words))
results = keywords(text, top_n=3)
assert len(results) is 3
results = keywords(text, threshold=.1)
for v in results.values():
assert v >= .1
def test_keywords_language_detect(self):
text = "il a remporté sa première victoire dans la descente de Val Gardena en Italie"
words = set(text.lower().split())
results = keywords(text, language = 'detect')
sorted_results = sorted(results.keys(), key=lambda x:results.get(x), reverse=True)
self.assertTrue(set(results.keys()).issubset(words))
results = keywords(text, top_n=3)
assert len(results) is 3
results = keywords(text, threshold=.1)
for v in results.values():
assert v >= .1
def test_keywords_language(self):
text = "il a remporté sa première victoire dans la descente de Val Gardena en Italie"
words = set(text.lower().split())
results = keywords(text, language = 'French')
sorted_results = sorted(results.keys(), key=lambda x:results.get(x), reverse=True)
self.assertTrue(set(results.keys()).issubset(words))
results = keywords(text, top_n=3)
assert len(results) is 3
results = keywords(text, threshold=.1)
for v in results.values():
assert v >= .1
def test_named_entities(self):
text = "London Underground's boss Mike Brown warned that the strike ..."
expected_entities = ("London Underground", "Mike Brown")
expected_keys = set(["categories", "confidence"])
entities = named_entities(text)
for entity in expected_entities:
assert entity in expected_entities
assert not (set(entities[entity]) - expected_keys)
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 = "pro-choice"
response = political(test_string)
self.assertTrue(isinstance(response, dict))
assert response['Libertarian'] > 0.25
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_sentiment_hq(self):
test_string = "Worst song ever."
response = sentiment_hq(test_string)
self.assertTrue(isinstance(response, float))
self.assertTrue(response < 0.5)
test_string = "Best song ever."
response = sentiment_hq(test_string)
self.assertTrue(isinstance(response, float))
self.assertTrue(response > 0.5)
def test_twitter_engagement(self):
test_string = "Worst song ever."
response = twitter_engagement(test_string)
self.assertIsInstance(response, float)
self.assertTrue(response <= 1)
self.assertTrue(response >= 0)
def test_batch_twitter_engagement(self):
test_string = "Worst song ever."
response = batch_twitter_engagement([test_string, test_string])
self.assertTrue(isinstance(response, list))
self.assertIsInstance(response[0], float)
self.assertEqual(response[0], response[1])
def test_good_fer(self):
fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
test_face = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = fer(test_face)
self.assertTrue(isinstance(response, dict))
self.assertEqual(fer_set, set(response.keys()))
def test_good_int_array_fer(self):
fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
test_face = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = fer(test_face)
self.assertTrue(isinstance(response, dict))
self.assertEqual(fer_set, set(response.keys()))
def test_happy_fer(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = fer(test_face)
self.assertTrue(isinstance(response, dict))
self.assertTrue(response['Happy'] > 0.5)
def test_happy_fer_pil(self):
test_face = Image.open(os.path.normpath(os.path.join(DIR, "data/happy.png"))).convert('L');
response = fer(test_face)
self.assertTrue(isinstance(response, dict))
self.assertTrue(response['Happy'] > 0.5)
def test_fear_fer(self):
test_face = os.path.normpath(os.path.join(DIR, "data/fear.png"))
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 = os.path.normpath(os.path.join(DIR, "data/64by64.png"))
response = fer(test_face)
self.assertTrue(isinstance(response, dict))
self.assertEqual(fer_set, set(response.keys()))
def test_facial_localization(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
res = facial_localization(test_face)[0]
self.assertTrue(res["top_left_corner"][0] < res["bottom_right_corner"][0])
self.assertTrue(res["top_left_corner"][1] < res["bottom_right_corner"][1])
def test_facial_localization_sensitivity(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
low_sens = facial_localization(test_face, sensitivity=0.1)
high_sens = facial_localization(test_face, sensitivity=0.9)
self.assertEqual(len(low_sens), 1)
self.assertTrue(len(high_sens) > 1)
def test_facial_localization_crop(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
res = facial_localization(test_face, crop=True)[0]
self.assertTrue(res.get("image"))
def test_safe_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(response < 0.5)
def test_resize_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(isinstance(response, float))
def test_good_facial_features(self):
test_face = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = facial_features(test_face)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 48)
self.check_range(response)
def test_rgba_int_array_facial_features(self):
test_face = os.path.normpath(os.path.join(DIR, "data/48by48rgba.png"))
response = facial_features(test_face)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 48)
self.check_range(response)
def test_good_int_array_facial_features(self):
fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
test_face = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = facial_features(test_face)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 48)
self.check_range(response)
# TODO: uncomment this test once the remote server is updated to
# deal with image_urls
# def test_image_url(self):
# test_face = 'http://textfac.es/static/ico/favicon.png'
# 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 = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
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 = os.path.normpath(os.path.join(DIR, "data/48by48rgb.png"))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_multi_api_image(self):
test_data = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = analyze_image(test_data, apis=config.IMAGE_APIS, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.IMAGE_APIS))
def test_multi_api_text(self):
test_data = 'clearly an english sentence'
response = analyze_text(test_data, apis=config.TEXT_APIS, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.TEXT_APIS))
def test_intersections_not_enough_data(self):
test_data = ['test_Data']
self.assertRaises(
IndicoError,
intersections,
test_data,
apis=['text_tags', 'sentiment']
)
def test_intersections_wrong_number_of_apis(self):
test_data = ['test data']*3
self.assertRaises(
IndicoError,
intersections,
test_data,
apis=['text_tags', 'sentiment', 'language']
)
def test_intersections_bad_api_type(self):
test_data = ['test data']*3
self.assertRaises(
IndicoError,
intersections,
test_data,
apis=['text_tags', 'fer']
)
def test_intersections_valid_input(self):
test_data = ['test data']*3
apis = ['text_tags', 'sentiment']
results = intersections(test_data, apis=apis)
assert set(results.keys()) < set(apis)
def test_intersections_valid_raw_input(self):
test_data = {
'sentiment': [0.1, 0.2, 0.3],
'twitter_engagement': [0.1, 0.2, 0.3]
}
results = intersections(test_data, apis=['sentiment', 'twitter_engagement'])
assert set(results.keys()) < set(test_data.keys())
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
def test_set_cloud(self):
test_data = 'clearly an english sentence'
self.assertRaises(ConnectionError,
language,
test_data,
cloud='invalid/cloud')
temp_cloud = config.cloud
config.cloud = 'invalid/cloud'
self.assertEqual(config.cloud, 'invalid/cloud')
self.assertRaises(ConnectionError,
language,
test_data)
config.cloud = temp_cloud
self.assertRaises(ConnectionError,
language,
test_data,
cloud='indico-test')
def test_set_api_key(self):
test_data = 'clearly an english sentence'
self.assertRaises(IndicoError,
language,
test_data,
api_key ='invalid_api_key')
temp_api_key = config.api_key
config.api_key = 'invalid_api_key'
self.assertEqual(config.api_key, 'invalid_api_key')
self.assertRaises(IndicoError,
language,
test_data)
config.api_key = temp_api_key
class NumpyImagesRun(unittest.TestCase):
"""
Testing numpy array as images
"""
def setUp(self):
self.api_key = config.api_key
try:
import numpy as np
globals()["np"] = np
except ImportError:
self.skipTest("Numpy is not installed!")
def check_range(self, _list, minimum=0.9, maximum=0.1, span=0.5):
vector = list(flatten(_list))
_max = max(vector)
_min = min(vector)
self.assertTrue(max(vector) > maximum)
self.assertTrue(min(vector) < minimum)
self.assertTrue(_max - _min > span)
def test_float_numpy_arrays(self):
test_image = np.random.random(size=(48,48))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_float_RGB_numpy_arrays(self):
test_image = np.random.random(size=(48,48,3))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_float_RGBA_numpy_arrays(self):
test_image = np.random.random(size=(48,48,4))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_int_numpy_arrays(self):
test_image = np.random.randint(0, 255, size=(48,48))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_int_RGB_numpy_arrays(self):
test_image = np.random.randint(0, 255, size=(48,48, 3))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_int_RGBA_numpy_arrays(self):
test_image = np.random.randint(0, 255, size=(48,48, 3))
response = image_features(test_image)
self.assertTrue(isinstance(response, list))
self.assertEqual(len(response), 2048)
self.check_range(response)
def test_invalid_int_numpy_arrays(self):
test_image = np.random.randint(255, 300, size=(48,48, 3))
self.assertRaises(IndicoError, image_features, test_image)
def test_invalid_int_numpy_arrays(self):
test_image = np.random.randint(255, 300, size=(48,48, 5))
self.assertRaises(IndicoError, image_features, test_image)
def test_resize_content_filtering_numpy_arrays(self):
test_image = np.random.randint(0, 255, size=(480,248, 3))
response = content_filtering(test_image)
self.assertTrue(isinstance(response, float))
def flatten(container):
for i in container:
if isinstance(i, list) or isinstance(i, tuple):
for j in flatten(i):
yield j
else:
yield i
if __name__ == "__main__":
unittest.main()
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