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#!/usr/bin/env python |
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# -*- coding: utf-8 -*- |
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import unittest |
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from processors import * |
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port = 8886 |
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# initialize the server |
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API = ProcessorsAPI(port) |
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class ProcessorsAPITests(unittest.TestCase): |
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def test_api(self): |
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"ProcessorsAPI instance should remember its port" |
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self.assertEqual(API.port, port, "Port was not {}".format(port)) |
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def test_annotate(self): |
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"API.annotate should produce a Document when given text" |
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text = "This is sentence 1. This is sentence 2." |
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# .annotate should be successful |
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doc = API.annotate(text) |
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self.assertNotEqual(doc, None, ".annotate failed to produce a Document") |
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# should have two sentences |
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num_sentences = 2 |
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self.assertEqual(len(doc.sentences), num_sentences, ".annotate did not produce a Document with {} Sentences for text \"{}\"".format(num_sentences, text)) |
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def test_fastnlp(self): |
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"API.fastnlp.annotate should produce a Document when given text" |
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text = "This is sentence 1. This is sentence 2." |
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# .annotate should be successful |
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doc = API.fastnlp.annotate(text) |
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self.assertNotEqual(doc, None, "fastnlp.annotate failed to produce a Document") |
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# should have two sentences |
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num_sentences = 2 |
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self.assertEqual(len(doc.sentences), num_sentences, "fastnlp.annotate did not produce a Document with {} Sentences for text \"{}\"".format(num_sentences, text)) |
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def test_bionlp(self): |
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"API.bionlp.annotate should produce a Document when given text" |
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text = "Ras phosphorylated Mek." |
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# .annotate should be successful |
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doc = API.bionlp.annotate(text) |
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self.assertNotEqual(doc, None, "bionlp.annotate failed to produce a Document") |
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# should have two sentences |
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num_sentences = 1 |
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self.assertEqual(len(doc.sentences), num_sentences, "bionlp.annotate did not produce a Document with {} Sentences for text \"{}\"".format(num_sentences, text)) |
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def test_sentiment_analysis_of_text(self): |
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"API.sentiment.corenlp.score_text should return scores for text" |
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scores = API.sentiment.corenlp.score_text("This is a very sad sentence.") |
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self.assertTrue(len(scores) > 0, "there were no sentiment scores returned for the text") |
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def test_sentiment_analysis_of_document(self): |
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"API.sentiment.corenlp.score_document should return scores for Document" |
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text = "This is a terribly sad sentence." |
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doc = API.annotate(text) |
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scores = API.sentiment.corenlp.score_document(doc) |
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self.assertTrue(len(scores) > 0, "there were no sentiment scores returned for the Document") |
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def test_sentiment_analysis_of_sentence(self): |
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"API.sentiment.corenlp.score_sentence should return a score for a Sentence" |
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text = "This is a terribly sad sentence." |
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doc = API.annotate(text) |
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s = doc.sentences[0] |
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score = API.sentiment.corenlp.score_sentence(s) |
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self.assertIsInstance(score, int, "score for Sentence should be of type int, but was of type {}".format(type(score))) |
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def test_sentiment_analysis_score_method(self): |
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"API.sentiment.corenlp.score should be able to determine the appropriate API endpoint for the given parameter" |
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# test with text |
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text = "This is a terribly sad sentence." |
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scores = API.sentiment.corenlp.score(text) |
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self.assertTrue(len(scores) > 0, "there were no sentiment scores returned for the text") |
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# test with Document |
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doc = API.annotate(text) |
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scores = API.sentiment.corenlp.score(doc) |
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self.assertTrue(len(scores) > 0, "there were no sentiment scores returned for the Document") |
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# test with Sentence |
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s = doc.sentences[0] |
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score = API.sentiment.corenlp.score(s) |
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self.assertIsInstance(score, int, "score for Sentence should be of type int, but was of type {}".format(type(score))) |
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def test_shutdown(self): |
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"api.stop_server() should stop processors-server.jar" |
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self.assertTrue(API.stop_server(), "Failed to shut down processors-server.jar") |
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if __name__ == "__main__": |
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unittest.main() |
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myedibleenso /
py-processors
