154 lines
5.4 KiB
Python
154 lines
5.4 KiB
Python
# (C) Copyright 2014-2017 Hewlett Packard Enterprise Development LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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class SubAlarmDefinition(object):
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"""Holds sub alarm definition
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Used for comparing sub alarm definitions for equality.
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"""
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def __init__(self, row=None, sub_expr=None):
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"""Initialize
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:param row: Database row
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:param sub_expr: Result from expression parser
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:return:
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"""
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super(SubAlarmDefinition, self).__init__()
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if row and sub_expr:
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raise Exception('Only one of row or sub_expr can be specified, '
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'not both')
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if row:
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# id is not used for compare or hash.
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self.id = row['id']
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self.alarm_definition_id = row['alarm_definition_id']
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self.metric_name = row['metric_name']
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self.dimensions_str = row['dimensions']
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self.dimensions = self._init_dimensions(row['dimensions'])
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self.function = row['function']
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self.operator = row['operator']
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self.period = row['period']
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self.periods = row['periods']
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self.threshold = row['threshold']
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self.deterministic = str(row['is_deterministic']) == '1'
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if sub_expr:
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# id is not used for compare or hash.
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self.id = ''
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# Must be injected.
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self.alarm_definition_id = ''
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self.metric_name = sub_expr.metric_name
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self.dimensions_str = sub_expr.dimensions_str
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self.dimensions = self._init_dimensions(sub_expr.dimensions_str)
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self.function = sub_expr.normalized_func.decode('utf8')
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self.operator = sub_expr.normalized_operator
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self.period = sub_expr.period
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self.periods = sub_expr.periods
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self.threshold = sub_expr.threshold
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self.deterministic = sub_expr.deterministic
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def _init_dimensions(self, dimensions_str):
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dimensions = {}
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if dimensions_str:
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for dimension in dimensions_str.split(','):
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name, value = dimension.split('=')
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dimensions[name] = value
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return dimensions
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@property
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def expression(self):
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"""Build the entire expressions as a string with spaces."""
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result = "{}({}".format(self.function.lower().encode('utf8'),
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self.metric_name.encode('utf8'))
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if self.dimensions_str:
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result += "{{{}}}".format(self.dimensions_str.encode('utf8'))
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if self.deterministic:
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result += ', deterministic'
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if self.period:
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result += ", {}".format(str(self.period).encode('utf8'))
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result += ")"
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result += " {} {}".format(self.operator.encode('utf8'),
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str(self.threshold).encode('utf8'))
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if self.periods:
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result += " times {}".format(str(self.periods).encode('utf8'))
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return result.decode('utf8')
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def __hash__(self):
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dimensions_str = "".join(sorted([name + value for name, value in
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self.dimensions.items()]))
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# don't use id to hash.
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return (hash(self.alarm_definition_id) ^
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hash(dimensions_str) ^
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hash(self.function) ^
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hash(self.metric_name) ^
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hash(self.operator) ^
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hash(self.period) ^
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hash(self.periods) ^
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hash(self.deterministic) ^
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# Convert to float to handle cases like 0.0 == 0
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hash(float(self.threshold)))
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def __repr__(self):
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result = 'id={},alarm_definition_id={},function={},metric_name={},dimensions={}' .format(
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self.id, self.alarm_definition_id, self.function, self.metric_name, self.dimensions)
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result += ',operator={},period={},periods={},determinstic={}'\
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.format(self.operator, self.period, self.periods, self.deterministic)
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return result
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def __eq__(self, other):
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if id(self) == id(other):
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return True
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if not isinstance(other, SubAlarmDefinition):
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return False
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# don't use id to compare.
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return (self.alarm_definition_id == other.alarm_definition_id and
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self.dimensions == other.dimensions and
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self.function == other.function and
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self.metric_name == other.metric_name and
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self.operator == other.operator and
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self.period == other.period and
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self.periods == other.periods and
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self.deterministic == other.deterministic and
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# Convert to float to handle cases like 0.0 == 0
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float(self.threshold) == float(other.threshold))
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def same_key_fields(self, other):
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# The metrics matched can't change
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return (self.metric_name == other.metric_name and
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self.dimensions == other.dimensions)
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