myedibleenso / py-processors

        rules_url = "https://raw.githubusercontent.com/clulab/reach/master/src/main/resources/edu/arizona/sista/demo/open/grammars/rules.yml"

        text = 'Inigo Montoya should be flagged as a Person.'

        mentions = API.odin.extract_from_text(text, rules_url)

        self.assertTrue(len(mentions) != 0, "No mentions were found")

        m = mentions[0]

        self.assertIsInstance(m, Mention, "m wasn't a Mention")

        person_mentions = [m for m in mentions if m.label == "Person"]

        self.assertTrue(len(person_mentions) == 1, "{} \"Person\" Mentions found, but 1 expected.".format(len(person_mentions)))

    def test_odin_extract_from_document_method(self):

        "API.odin.extract_from_document should return mentions whenever rules match the text"

        rules = """

        - name: "ner-person"

          label: [Person, PossiblePerson, Entity]

          priority: 1

          type: token

          pattern: |

        # test with Document

        doc = API.annotate(text)

        scores = API.sentiment.corenlp.score(doc)

        self.assertTrue(len(scores) > 0, "there were no sentiment scores returned for the Document")

        # test with Sentence

        s = doc.sentences[0]

        score = API.sentiment.corenlp.score(s)

        self.assertIsInstance(score, int, "score for Sentence should be of type int, but was of type {}".format(type(score)))

    # Odin tests

    def test_odin_extract_from_text_method(self):

        "API.odin.extract_from_text should return mentions whenever rules match the text"

        rules = """

        - name: "ner-person"

          label: [Person, PossiblePerson, Entity]

          priority: 1