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Edit: classify_column.py
# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20200601 from .abstract_column import AbstractColumn from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class ClassifyColumn(AbstractColumn): """ Column containing query results produced by the query language classify command. """ def __init__(self, **kwargs): """ Initializes a new ClassifyColumn object with values from keyword arguments. The default value of the :py:attr:`~oci.log_analytics.models.ClassifyColumn.type` attribute of this class is ``CLASSIFY_COLUMN`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param type: The value to assign to the type property of this ClassifyColumn. Allowed values for this property are: "COLUMN", "CHART_COLUMN", "CHART_DATA_COLUMN", "TIME_STATS_COLUMN", "TIME_STATS_DATA_COLUMN", "TIME_CLUSTER_COLUMN", "TIME_CLUSTER_DATA_COLUMN", "TABLE_COLUMN", "TIME_COLUMN", "TREND_COLUMN", "CLASSIFY_COLUMN" :type type: str :param display_name: The value to assign to the display_name property of this ClassifyColumn. :type display_name: str :param sub_system: The value to assign to the sub_system property of this ClassifyColumn. Allowed values for this property are: "LOG" :type sub_system: str :param values: The value to assign to the values property of this ClassifyColumn. :type values: list[oci.log_analytics.models.FieldValue] :param is_list_of_values: The value to assign to the is_list_of_values property of this ClassifyColumn. :type is_list_of_values: bool :param is_multi_valued: The value to assign to the is_multi_valued property of this ClassifyColumn. :type is_multi_valued: bool :param is_case_sensitive: The value to assign to the is_case_sensitive property of this ClassifyColumn. :type is_case_sensitive: bool :param is_groupable: The value to assign to the is_groupable property of this ClassifyColumn. :type is_groupable: bool :param is_evaluable: The value to assign to the is_evaluable property of this ClassifyColumn. :type is_evaluable: bool :param is_hidden: The value to assign to the is_hidden property of this ClassifyColumn. :type is_hidden: bool :param value_type: The value to assign to the value_type property of this ClassifyColumn. Allowed values for this property are: "BOOLEAN", "STRING", "DOUBLE", "FLOAT", "LONG", "INTEGER", "TIMESTAMP", "FACET", "TABLE" :type value_type: str :param original_display_name: The value to assign to the original_display_name property of this ClassifyColumn. :type original_display_name: str :param internal_name: The value to assign to the internal_name property of this ClassifyColumn. :type internal_name: str :param classify_field_names: The value to assign to the classify_field_names property of this ClassifyColumn. :type classify_field_names: list[str] :param classify_field_null_count: The value to assign to the classify_field_null_count property of this ClassifyColumn. :type classify_field_null_count: list[int] :param classify_anomaly_interval_counts: The value to assign to the classify_anomaly_interval_counts property of this ClassifyColumn. :type classify_anomaly_interval_counts: list[int] :param classify_columns: The value to assign to the classify_columns property of this ClassifyColumn. :type classify_columns: list[oci.log_analytics.models.AbstractColumn] :param classify_result: The value to assign to the classify_result property of this ClassifyColumn. :type classify_result: list[dict(str, object)] :param classify_correlate_columns: The value to assign to the classify_correlate_columns property of this ClassifyColumn. :type classify_correlate_columns: list[oci.log_analytics.models.AbstractColumn] :param classify_correlate_result: The value to assign to the classify_correlate_result property of this ClassifyColumn. :type classify_correlate_result: list[dict(str, object)] """ self.swagger_types = { 'type': 'str', 'display_name': 'str', 'sub_system': 'str', 'values': 'list[FieldValue]', 'is_list_of_values': 'bool', 'is_multi_valued': 'bool', 'is_case_sensitive': 'bool', 'is_groupable': 'bool', 'is_evaluable': 'bool', 'is_hidden': 'bool', 'value_type': 'str', 'original_display_name': 'str', 'internal_name': 'str', 'classify_field_names': 'list[str]', 'classify_field_null_count': 'list[int]', 'classify_anomaly_interval_counts': 'list[int]', 'classify_columns': 'list[AbstractColumn]', 'classify_result': 'list[dict(str, object)]', 'classify_correlate_columns': 'list[AbstractColumn]', 'classify_correlate_result': 'list[dict(str, object)]' } self.attribute_map = { 'type': 'type', 'display_name': 'displayName', 'sub_system': 'subSystem', 'values': 'values', 'is_list_of_values': 'isListOfValues', 'is_multi_valued': 'isMultiValued', 'is_case_sensitive': 'isCaseSensitive', 'is_groupable': 'isGroupable', 'is_evaluable': 'isEvaluable', 'is_hidden': 'isHidden', 'value_type': 'valueType', 'original_display_name': 'originalDisplayName', 'internal_name': 'internalName', 'classify_field_names': 'classifyFieldNames', 'classify_field_null_count': 'classifyFieldNullCount', 'classify_anomaly_interval_counts': 'classifyAnomalyIntervalCounts', 'classify_columns': 'classifyColumns', 'classify_result': 'classifyResult', 'classify_correlate_columns': 'classifyCorrelateColumns', 'classify_correlate_result': 'classifyCorrelateResult' } self._type = None self._display_name = None self._sub_system = None self._values = None self._is_list_of_values = None self._is_multi_valued = None self._is_case_sensitive = None self._is_groupable = None self._is_evaluable = None self._is_hidden = None self._value_type = None self._original_display_name = None self._internal_name = None self._classify_field_names = None self._classify_field_null_count = None self._classify_anomaly_interval_counts = None self._classify_columns = None self._classify_result = None self._classify_correlate_columns = None self._classify_correlate_result = None self._type = 'CLASSIFY_COLUMN' @property def classify_field_names(self): """ Gets the classify_field_names of this ClassifyColumn. A list of fields specified in the classify command in the query string. :return: The classify_field_names of this ClassifyColumn. :rtype: list[str] """ return self._classify_field_names @classify_field_names.setter def classify_field_names(self, classify_field_names): """ Sets the classify_field_names of this ClassifyColumn. A list of fields specified in the classify command in the query string. :param classify_field_names: The classify_field_names of this ClassifyColumn. :type: list[str] """ self._classify_field_names = classify_field_names @property def classify_field_null_count(self): """ Gets the classify_field_null_count of this ClassifyColumn. Count of nulls found in each of the fields specified in the classify command in the query string. :return: The classify_field_null_count of this ClassifyColumn. :rtype: list[int] """ return self._classify_field_null_count @classify_field_null_count.setter def classify_field_null_count(self, classify_field_null_count): """ Sets the classify_field_null_count of this ClassifyColumn. Count of nulls found in each of the fields specified in the classify command in the query string. :param classify_field_null_count: The classify_field_null_count of this ClassifyColumn. :type: list[int] """ self._classify_field_null_count = classify_field_null_count @property def classify_anomaly_interval_counts(self): """ Gets the classify_anomaly_interval_counts of this ClassifyColumn. Count of anomalies for each timeseries datapoint. :return: The classify_anomaly_interval_counts of this ClassifyColumn. :rtype: list[int] """ return self._classify_anomaly_interval_counts @classify_anomaly_interval_counts.setter def classify_anomaly_interval_counts(self, classify_anomaly_interval_counts): """ Sets the classify_anomaly_interval_counts of this ClassifyColumn. Count of anomalies for each timeseries datapoint. :param classify_anomaly_interval_counts: The classify_anomaly_interval_counts of this ClassifyColumn. :type: list[int] """ self._classify_anomaly_interval_counts = classify_anomaly_interval_counts @property def classify_columns(self): """ Gets the classify_columns of this ClassifyColumn. Column descriptors for the classify result. :return: The classify_columns of this ClassifyColumn. :rtype: list[oci.log_analytics.models.AbstractColumn] """ return self._classify_columns @classify_columns.setter def classify_columns(self, classify_columns): """ Sets the classify_columns of this ClassifyColumn. Column descriptors for the classify result. :param classify_columns: The classify_columns of this ClassifyColumn. :type: list[oci.log_analytics.models.AbstractColumn] """ self._classify_columns = classify_columns @property def classify_result(self): """ Gets the classify_result of this ClassifyColumn. Results of the classify command. :return: The classify_result of this ClassifyColumn. :rtype: list[dict(str, object)] """ return self._classify_result @classify_result.setter def classify_result(self, classify_result): """ Sets the classify_result of this ClassifyColumn. Results of the classify command. :param classify_result: The classify_result of this ClassifyColumn. :type: list[dict(str, object)] """ self._classify_result = classify_result @property def classify_correlate_columns(self): """ Gets the classify_correlate_columns of this ClassifyColumn. Column descriptors of fields with strong correlation with the classify fields. :return: The classify_correlate_columns of this ClassifyColumn. :rtype: list[oci.log_analytics.models.AbstractColumn] """ return self._classify_correlate_columns @classify_correlate_columns.setter def classify_correlate_columns(self, classify_correlate_columns): """ Sets the classify_correlate_columns of this ClassifyColumn. Column descriptors of fields with strong correlation with the classify fields. :param classify_correlate_columns: The classify_correlate_columns of this ClassifyColumn. :type: list[oci.log_analytics.models.AbstractColumn] """ self._classify_correlate_columns = classify_correlate_columns @property def classify_correlate_result(self): """ Gets the classify_correlate_result of this ClassifyColumn. Correlation results of the classify command. :return: The classify_correlate_result of this ClassifyColumn. :rtype: list[dict(str, object)] """ return self._classify_correlate_result @classify_correlate_result.setter def classify_correlate_result(self, classify_correlate_result): """ Sets the classify_correlate_result of this ClassifyColumn. Correlation results of the classify command. :param classify_correlate_result: The classify_correlate_result of this ClassifyColumn. :type: list[dict(str, object)] """ self._classify_correlate_result = classify_correlate_result def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other