File anomalies.chart.py has 347 lines of code (exceeds 250 allowed). Consider refactoring.

Open

# -*- coding: utf-8 -*-
# Description: anomalies netdata python.d module
# Author: andrewm4894
# SPDX-License-Identifier: GPL-3.0-or-later

Function custom_models_init has a Cognitive Complexity of 22 (exceeds 5 allowed). Consider refactoring.

Open

    def custom_models_init(self):
        """Perform initialization steps related to custom models.
        """
        self.custom_models = self.configuration.get('custom_models', None)
        self.custom_models_normalize = bool(self.configuration.get('custom_models_normalize', False))

• Read up
  Read up

Function make_features has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.

Open

    def make_features(self, arr, train=False, model=None):
        """Take in numpy array and preprocess accordingly by taking diffs, smoothing and adding lags.

        :param arr <np.ndarray>: numpy array we want to make features from.
        :param train <bool>: True if making features for training, in which case need to fit_transform scaler and maybe sample train_max_n.

• Read up
  Read up

Function get_data has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.

Open

    def get_data(self):

        # initialize to what's available right now
        if self.reinitialize_at_every_step or len(self.host_charts_dict[self.host]) == 0:
            self.charts_init()

• Read up
  Read up

Avoid deeply nested control flow statements.

Open

                        if chart not in self.host_charts_dict[host]:
                            self.host_charts_dict[host].extend(chart)
        else:

Function models_init has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

    def models_init(self):
        """Models initialisation.
        """
        self.model = self.configuration.get('model', 'pca')
        if self.model == 'pca':

• Read up
  Read up

Function model_init has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

    def model_init(self, model):
        """Model initialisation of a single model.
        """
        if self.model == 'pca':
            self.models[model] = PCA(contamination=self.contamination)

• Read up
  Read up

Function validate_charts has 5 arguments (exceeds 4 allowed). Consider refactoring.

Open

    def validate_charts(self, chart, data, algorithm='absolute', multiplier=1, divisor=1):

Function try_predict has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.

Open

    def try_predict(self):
        """Try make prediction and fall back to last known prediction if fails.

        :return: (<dict>,<dict>) tuple of dictionaries, one for probability scores and the other for anomaly predictions.
        """

• Read up
  Read up

Function try_fit has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def try_fit(self, df_train, models_to_train=None):
        """Try fit each model and try to fallback to a default model if fit fails for any reason.

        :param df_train <pd.DataFrame>: data to train on.
        :param models_to_train <list>: list of models to train.

• Read up
  Read up

Function validate_charts has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def validate_charts(self, chart, data, algorithm='absolute', multiplier=1, divisor=1):
        """If dimension not in chart then add it.
        """
        for dim in data:
            if dim not in self.collected_dims[chart]:

• Read up
  Read up