def __init__(self, classifier_name='NBC'):
# Services
self._configurator = Configurator()
self._configurator.configure_system()
self._database_cursor = DatabaseCursor()
self._document_preparer = DocumentPreparer()
self._text_weight_counter = TextWeightCounter()
self._classifier = Classifier()
self.__logger = Logger()
self._lemmatizer = Lemmatizer()
self._path_service = PathService()
# Data
self._classifier_name = classifier_name
self._text = None
self.tonal = None
self.probability = 0
self._unigrams = None
self._bigrams = None
self._trigrams = None
self._unigrams_weight = None
self._bigrams_weight = None
self._trigrams_weight = None
self.__logger.info('TextTonalAnalyzer was successfully initialized.',
__name__)
def __init__(self):
# Services
self.__logger = Logger()
self._path_service = PathService()
self._exceptions_handler = ExceptionsHandler()
# Data
self._container = ClassificationDataContainer()
self._possible_classifiers = ['NBC', 'LogisticRegression', 'KNN']
self.__logger.info('Classifier was successfully initialized.',
__name__)
def __init__(self):
# Services
self._spell_checker = SpellChecker()
self.__logger = Logger()
self._path_service = PathService()
self._morph_analyzer = pymorphy2.MorphAnalyzer()
# Data
self._stop_words = self._read_stop_words()
self._parts_of_speech_to_remove = ['NUMR', 'NPRO', 'PREP']
self.__logger.info('Lemmatizer was successfully initialized.',
__name__)
def __init__(self):
# Services
self.__logger = Logger()
self._path_service = PathService()
self._configurator = Configurator()
self._exceptions_handler = ExceptionsHandler()
# Data
self._wd = os.getcwd()
self._request_url = None
self.databases_public_keys = None
self.__logger.info('DatabaseCursor was successfully initialized.',
__name__)
def __init__(self):
# Services
self._database_cursor = DatabaseCursor()
self._ngram_analyzer = NgramAnalyzer()
self.__logger = Logger()
self._path_service = PathService()
# Data
self._docs_count = dict()
self._count_all_docs()
self.__logger.info('TextWeightCounter was successfully initialized.',
__name__)
def __init__(self):
# Services
self._database_cursor = DatabaseCursor()
self.__logger = Logger()
self._exceptions_hanlder = ExceptionsHandler()
self._lemmatizer = Lemmatizer()
self._path_service = PathService()
self._configurator = Configurator()
self._morph_analyzer = pymorphy2.MorphAnalyzer()
# Data
self._vec_model = None
self._load_vec_model()
self.__logger.info('NgramAnalyzer was successfully initialized.', __name__)
def __init__(self):
# Services
self.__logger = Logger()
self._path_service = PathService()
self._exceptions_handler = ExceptionsHandler()
# Data
self._config = dict()
self._wd = os.getcwd()
self._path_to_databases = None
self._request_url = None
self._vector_model_public_key = None
self._databases_public_keys = None
self._load_public_keys()
self.__logger.info('Configurator was successfully initialized.',
__name__)
def __init__(self):
super().__init__()
self.os = platform.system().lower()
# Services
self._speech_recognizer = SpeechRecognizer()
self._file_reader = FileReader()
self.__logger = Logger()
self._path_service = PathService()
self._text_tonal_analyzer = TextTonalAnalyzer('NBC')
self._config = None
self._load_config()
# GUI Elements
self.line_edit = QLineEdit(self)
self.answer_label = QLabel(self)
self.voice_button = QPushButton(self)
self.answer_button = QPushButton(self)
self.file_dialog_button = QPushButton(self)
self.delete_button = QPushButton(self)
self.message_box = QMessageBox()
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import csv
import sqlite3
from Python.Services.DocumentPreparer import DocumentPreparer
from Python.Services.Lemmatizer.Lemmatizer import Lemmatizer
from Python.Services.PathService import PathService
path_service = PathService()
lemmatizer = Lemmatizer()
document_preparer = DocumentPreparer()
def get_all_entries(database):
path_to_db = path_service.get_path_to_database(database)
connection = sqlite3.connect(path_to_db)
cursor = connection.cursor()
request = "SELECT * FROM 'Data'"
cursor.execute(request)
return cursor.fetchall()