Пример #1
0
def test_when_get_recognizers_then_returns_supported_language():
    pattern = Pattern("rocket pattern", r"\W*(rocket)\W*", 0.8)
    pattern_recognizer = PatternRecognizer(
        "ROCKET",
        name="Rocket recognizer RU",
        patterns=[pattern],
        supported_language="ru",
    )
    mock_recognizer_registry = RecognizerRegistryMock()
    mock_recognizer_registry.add_recognizer(pattern_recognizer)
    analyze_engine = AnalyzerEngine(
        registry=mock_recognizer_registry,
        nlp_engine=NlpEngineMock(),
    )
    response = analyze_engine.get_recognizers(language="ru")
    # there is only 1 mocked russian recognizer
    assert len(response) == 1
Пример #2
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def test_when_analyze_added_pattern_recognizer_then_succeed(unit_test_guid):
    pattern = Pattern("rocket pattern", r"\W*(rocket)\W*", 0.8)
    pattern_recognizer = PatternRecognizer("ROCKET",
                                           name="Rocket recognizer",
                                           patterns=[pattern])

    mock_recognizer_registry = RecognizerRegistryMock()

    # Make sure the analyzer doesn't get this entity
    analyze_engine = AnalyzerEngine(
        registry=mock_recognizer_registry,
        nlp_engine=NlpEngineMock(),
    )
    text = "rocket is my favorite transportation"
    entities = ["CREDIT_CARD", "ROCKET"]

    results = analyze_engine.analyze(
        correlation_id=unit_test_guid,
        text=text,
        entities=entities,
        language="en",
    )

    assert len(results) == 0

    # Add a new recognizer for the word "rocket" (case insensitive)
    mock_recognizer_registry.add_recognizer(pattern_recognizer)

    # Check that the entity is recognized:
    results = analyze_engine.analyze(
        correlation_id=unit_test_guid,
        text=text,
        entities=entities,
        language="en",
    )

    assert len(results) == 1
    assert_result(results[0], "ROCKET", 0, 7, 0.8)
Пример #3
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def test_when_removed_pattern_recognizer_then_doesnt_work(unit_test_guid):
    pattern = Pattern("spaceship pattern", r"\W*(spaceship)\W*", 0.8)
    pattern_recognizer = PatternRecognizer("SPACESHIP",
                                           name="Spaceship recognizer",
                                           patterns=[pattern])

    mock_recognizer_registry = RecognizerRegistryMock()

    # Make sure the analyzer doesn't get this entity
    analyze_engine = AnalyzerEngine(
        registry=mock_recognizer_registry,
        nlp_engine=NlpEngineMock(),
    )
    text = "spaceship is my favorite transportation"
    entities = ["CREDIT_CARD", "SPACESHIP"]

    results = analyze_engine.analyze(
        correlation_id=unit_test_guid,
        text=text,
        entities=entities,
        language="en",
    )

    assert len(results) == 0

    # Add a new recognizer for the word "rocket" (case insensitive)
    mock_recognizer_registry.add_recognizer(pattern_recognizer)
    # Check that the entity is recognized:
    results = analyze_engine.analyze(
        correlation_id=unit_test_guid,
        text=text,
        entities=entities,
        language="en",
    )
    assert len(results) == 1
    assert_result(results[0], "SPACESHIP", 0, 10, 0.8)

    # Remove recognizer
    mock_recognizer_registry.remove_recognizer("Spaceship recognizer")
    # Test again to see we didn't get any results
    results = analyze_engine.analyze(
        correlation_id=unit_test_guid,
        text=text,
        entities=entities,
        language="en",
    )

    assert len(results) == 0
Пример #4
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def mock_registry():
    return RecognizerRegistryMock()