コード例 #1
0
ファイル: test_regex.py プロジェクト: roniemartinez/rasam
def test_process(meta: Dict[str, Any], expected: List[Dict[str, Any]]) -> None:
    training_data = mock.MagicMock()
    message = mock.MagicMock()
    message.data = {"text": 'input "test"'}
    message.get.return_value = []
    training_data.regex_features = []
    extractor = RegexEntityExtractor(meta)
    extractor.process(message)
    message.set.assert_called_once_with("entities", expected, add_to_output=True)
コード例 #2
0
ファイル: test_regex.py プロジェクト: amedat04/rasam
def test_persist(
    write_json_to_file: mock.MagicMock, regex_features: Dict[str, Any], expected: Dict[str, Any], persisted: bool,
) -> None:
    training_data = mock.MagicMock()
    training_data.regex_features = regex_features
    extractor = RegexEntityExtractor({})
    extractor.train(training_data)
    assert expected == extractor.persist("filename", "model_dir")
    if persisted:
        write_json_to_file.assert_called_once_with(os.path.join("model_dir", "filename.json"), regex_features)
    else:
        write_json_to_file.assert_not_called()
コード例 #3
0
ファイル: test_regex.py プロジェクト: roniemartinez/rasam
def test_init(re_compile: mock.MagicMock, meta: Dict[str, Any], expected: List[Dict[str, Any]]) -> None:
    extractor = RegexEntityExtractor(meta)
    assert extractor.regex_features == expected
    if len(expected):
        re_compile.assert_called_once()
    else:
        re_compile.assert_not_called()
コード例 #4
0
ファイル: test_regex.py プロジェクト: roniemartinez/rasam
def test_load(read_json_file: mock.MagicMock, meta: Dict[str, Any], loaded: bool) -> None:
    extractor = RegexEntityExtractor.load(meta, "model_dir")
    if loaded:
        read_json_file.assert_called_once_with(os.path.join("model_dir", "test.json"))
        assert isinstance(extractor, RegexEntityExtractor)
    else:
        read_json_file.assert_not_called()
コード例 #5
0
ファイル: test_regex.py プロジェクト: roniemartinez/rasam
def test_train() -> None:
    training_data = mock.MagicMock()
    training_data.regex_features = []
    extractor = RegexEntityExtractor({})
    extractor.train(training_data)
    assert extractor.regex_features == training_data.regex_features