File: log_metric_trigger_py3.py

package info (click to toggle)
python-azure 20181112%2Bgit-2
  • links: PTS, VCS
  • area: main
  • in suites: buster
  • size: 407,300 kB
  • sloc: python: 717,190; makefile: 201; sh: 76
file content (45 lines) | stat: -rw-r--r-- 1,906 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------

from msrest.serialization import Model


class LogMetricTrigger(Model):
    """LogMetricTrigger.

    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
     'LessThan', 'Equal'
    :type threshold_operator: str or
     ~azure.mgmt.monitor.models.ConditionalOperator
    :param threshold:
    :type threshold: float
    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
     'Total'. Possible values include: 'Consecutive', 'Total'
    :type metric_trigger_type: str or
     ~azure.mgmt.monitor.models.MetricTriggerType
    :param metric_column: Evaluation of metric on a particular column
    :type metric_column: str
    """

    _attribute_map = {
        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
        'threshold': {'key': 'threshold', 'type': 'float'},
        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
        'metric_column': {'key': 'metricColumn', 'type': 'str'},
    }

    def __init__(self, *, threshold_operator=None, threshold: float=None, metric_trigger_type=None, metric_column: str=None, **kwargs) -> None:
        super(LogMetricTrigger, self).__init__(**kwargs)
        self.threshold_operator = threshold_operator
        self.threshold = threshold
        self.metric_trigger_type = metric_trigger_type
        self.metric_column = metric_column