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# 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: 20200531

from .unified_agent_parser import UnifiedAgentParser
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 UnifiedAgentApacheErrorParser(UnifiedAgentParser):
    """
    Apache error log parser.
    """

def __init__(self, **kwargs):
        """
        Initializes a new UnifiedAgentApacheErrorParser object with values from keyword arguments. The default value of the :py:attr:`~oci.logging.models.UnifiedAgentApacheErrorParser.parser_type` attribute
        of this class is ``APACHE_ERROR`` and it should not be changed.
        The following keyword arguments are supported (corresponding to the getters/setters of this class):

:param parser_type:
            The value to assign to the parser_type property of this UnifiedAgentApacheErrorParser.
            Allowed values for this property are: "AUDITD", "CRI", "JSON", "TSV", "CSV", "NONE", "SYSLOG", "APACHE2", "APACHE_ERROR", "MSGPACK", "REGEXP", "MULTILINE", "GROK", "MULTILINE_GROK", "OPENMETRICS"
        :type parser_type: str

:param field_time_key:
            The value to assign to the field_time_key property of this UnifiedAgentApacheErrorParser.
        :type field_time_key: str

:param types:
            The value to assign to the types property of this UnifiedAgentApacheErrorParser.
        :type types: dict(str, str)

:param null_value_pattern:
            The value to assign to the null_value_pattern property of this UnifiedAgentApacheErrorParser.
        :type null_value_pattern: str

:param is_null_empty_string:
            The value to assign to the is_null_empty_string property of this UnifiedAgentApacheErrorParser.
        :type is_null_empty_string: bool

:param is_estimate_current_event:
            The value to assign to the is_estimate_current_event property of this UnifiedAgentApacheErrorParser.
        :type is_estimate_current_event: bool

:param is_keep_time_key:
            The value to assign to the is_keep_time_key property of this UnifiedAgentApacheErrorParser.
        :type is_keep_time_key: bool

:param timeout_in_milliseconds:
            The value to assign to the timeout_in_milliseconds property of this UnifiedAgentApacheErrorParser.
        :type timeout_in_milliseconds: int

"""
        self.swagger_types = {
            'parser_type': 'str',
            'field_time_key': 'str',
            'types': 'dict(str, str)',
            'null_value_pattern': 'str',
            'is_null_empty_string': 'bool',
            'is_estimate_current_event': 'bool',
            'is_keep_time_key': 'bool',
            'timeout_in_milliseconds': 'int'
        }

self.attribute_map = {
            'parser_type': 'parserType',
            'field_time_key': 'fieldTimeKey',
            'types': 'types',
            'null_value_pattern': 'nullValuePattern',
            'is_null_empty_string': 'isNullEmptyString',
            'is_estimate_current_event': 'isEstimateCurrentEvent',
            'is_keep_time_key': 'isKeepTimeKey',
            'timeout_in_milliseconds': 'timeoutInMilliseconds'
        }

self._parser_type = None
        self._field_time_key = None
        self._types = None
        self._null_value_pattern = None
        self._is_null_empty_string = None
        self._is_estimate_current_event = None
        self._is_keep_time_key = None
        self._timeout_in_milliseconds = None
        self._parser_type = 'APACHE_ERROR'

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

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