264 lines
9.1 KiB
Python
264 lines
9.1 KiB
Python
#!/usr/bin/python
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#
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# Copyright (c) 2017 Yuwei Zhou, <yuwzho@microsoft.com>
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#
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# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
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from __future__ import absolute_import, division, print_function
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__metaclass__ = type
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ANSIBLE_METADATA = {'metadata_version': '1.1',
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'status': ['preview'],
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'supported_by': 'community'}
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DOCUMENTATION = '''
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---
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module: azure_rm_autoscale_facts
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version_added: "2.7"
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short_description: Get Azure Auto Scale Setting facts.
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description:
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- Get facts of Auto Scale Setting.
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options:
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resource_group:
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description:
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- The name of the resource group.
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required: True
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name:
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description:
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- The name of the Auto Scale Setting.
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tags:
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description:
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- Limit results by providing a list of tags. Format tags as 'key' or 'key:value'.
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extends_documentation_fragment:
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- azure
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author:
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- "Yuwei Zhou (@yuwzho)"
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'''
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EXAMPLES = '''
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- name: Get instance of Auto Scale Setting
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azure_rm_autoscale_facts:
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resource_group: resource_group_name
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name: auto_scale_name
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- name: List instances of Auto Scale Setting
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azure_rm_autoscale_facts:
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resource_group: resource_group_name
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'''
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RETURN = '''
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autoscales:
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description: List of Azure Scale Settings dicts.
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returned: always
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type: list
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sample: [{
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"enabled": true,
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"id": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/microsoft.insights/autoscalesettings/scale",
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"location": "eastus",
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"name": "scale",
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"notifications": [
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{
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"custom_emails": [
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"yuwzho@microsoft.com"
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],
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"send_to_subscription_administrator": true,
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"send_to_subscription_co_administrators": false,
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"webhooks": []
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}
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],
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"profiles": [
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{
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"count": "1",
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"max_count": "1",
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"min_count": "1",
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"name": "Auto created scale condition 0",
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"recurrence_days": [
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"Monday"
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],
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"recurrence_frequency": "Week",
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"recurrence_hours": [
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"6"
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],
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"recurrence_mins": [
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"0"
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],
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"recurrence_timezone": "China Standard Time",
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"rules": [
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{
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"cooldown": 5.0,
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"direction": "Increase",
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"metric_name": "Percentage CPU",
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"metric_resource_uri": "/subscriptions/XX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss",
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"operator": "GreaterThan",
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"statistic": "Average",
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"threshold": 70.0,
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"time_aggregation": "Average",
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"time_grain": 1.0,
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"time_window": 10.0,
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"type": "ChangeCount",
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"value": "1"
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}
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]
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}
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],
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"target": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
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}]
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'''
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from ansible.module_utils.azure_rm_common import AzureRMModuleBase
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from ansible.module_utils._text import to_native
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try:
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from msrestazure.azure_exceptions import CloudError
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from msrest.serialization import Model
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except ImportError:
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# This is handled in azure_rm_common
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pass
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# duplicated in azure_rm_autoscale
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def timedelta_to_minutes(time):
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if not time:
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return 0
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return time.days * 1440 + time.seconds / 60.0 + time.microseconds / 60000000.0
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def get_enum_value(item):
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if 'value' in dir(item):
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return to_native(item.value)
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return to_native(item)
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def auto_scale_to_dict(instance):
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if not instance:
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return dict()
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return dict(
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id=to_native(instance.id or ''),
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name=to_native(instance.name),
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location=to_native(instance.location),
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profiles=[profile_to_dict(p) for p in instance.profiles or []],
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notifications=[notification_to_dict(n) for n in instance.notifications or []],
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enabled=instance.enabled,
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target=to_native(instance.target_resource_uri),
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tags=instance.tags
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)
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def rule_to_dict(rule):
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if not rule:
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return dict()
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result = dict(metric_name=to_native(rule.metric_trigger.metric_name),
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metric_resource_uri=to_native(rule.metric_trigger.metric_resource_uri),
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time_grain=timedelta_to_minutes(rule.metric_trigger.time_grain),
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statistic=get_enum_value(rule.metric_trigger.statistic),
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time_window=timedelta_to_minutes(rule.metric_trigger.time_window),
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time_aggregation=get_enum_value(rule.metric_trigger.time_aggregation),
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operator=get_enum_value(rule.metric_trigger.operator),
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threshold=float(rule.metric_trigger.threshold))
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if rule.scale_action and to_native(rule.scale_action.direction) != 'None':
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result['direction'] = get_enum_value(rule.scale_action.direction)
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result['type'] = get_enum_value(rule.scale_action.type)
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result['value'] = to_native(rule.scale_action.value)
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result['cooldown'] = timedelta_to_minutes(rule.scale_action.cooldown)
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return result
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def profile_to_dict(profile):
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if not profile:
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return dict()
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result = dict(name=to_native(profile.name),
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count=to_native(profile.capacity.default),
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max_count=to_native(profile.capacity.maximum),
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min_count=to_native(profile.capacity.minimum))
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if profile.rules:
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result['rules'] = [rule_to_dict(r) for r in profile.rules]
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if profile.fixed_date:
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result['fixed_date_timezone'] = profile.fixed_date.time_zone
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result['fixed_date_start'] = profile.fixed_date.start
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result['fixed_date_end'] = profile.fixed_date.end
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if profile.recurrence:
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if get_enum_value(profile.recurrence.frequency) != 'None':
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result['recurrence_frequency'] = get_enum_value(profile.recurrence.frequency)
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if profile.recurrence.schedule:
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result['recurrence_timezone'] = to_native(str(profile.recurrence.schedule.time_zone))
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result['recurrence_days'] = [to_native(r) for r in profile.recurrence.schedule.days]
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result['recurrence_hours'] = [to_native(r) for r in profile.recurrence.schedule.hours]
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result['recurrence_mins'] = [to_native(r) for r in profile.recurrence.schedule.minutes]
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return result
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def notification_to_dict(notification):
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if not notification:
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return dict()
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return dict(send_to_subscription_administrator=notification.email.send_to_subscription_administrator if notification.email else False,
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send_to_subscription_co_administrators=notification.email.send_to_subscription_co_administrators if notification.email else False,
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custom_emails=[to_native(e) for e in notification.email.custom_emails or []],
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webhooks=[to_native(w.service_url) for w in notification.webhooks or []])
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class AzureRMAutoScaleFacts(AzureRMModuleBase):
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def __init__(self):
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# define user inputs into argument
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self.module_arg_spec = dict(
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resource_group=dict(
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type='str',
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required=True
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),
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name=dict(
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type='str'
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),
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tags=dict(
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type='list'
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)
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)
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# store the results of the module operation
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self.results = dict()
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self.resource_group = None
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self.name = None
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self.tags = None
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super(AzureRMAutoScaleFacts, self).__init__(self.module_arg_spec, supports_tags=False)
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def exec_module(self, **kwargs):
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for key in list(self.module_arg_spec):
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setattr(self, key, kwargs[key])
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if self.resource_group and self.name:
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self.results['autoscales'] = self.get()
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elif self.resource_group:
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self.results['autoscales'] = self.list_by_resource_group()
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return self.results
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def get(self):
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result = []
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try:
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instance = self.monitor_client.autoscale_settings.get(self.resource_group, self.name)
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result = [auto_scale_to_dict(instance)]
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except Exception as ex:
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self.log('Could not get facts for autoscale {0} - {1}.'.format(self.name, str(ex)))
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return result
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def list_by_resource_group(self):
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results = []
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try:
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response = self.monitor_client.autoscale_settings.list_by_resource_group(self.resource_group)
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results = [auto_scale_to_dict(item) for item in response if self.has_tags(item.tags, self.tags)]
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except Exception as ex:
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self.log('Could not get facts for autoscale {0} - {1}.'.format(self.name, str(ex)))
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return results
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def main():
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AzureRMAutoScaleFacts()
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if __name__ == '__main__':
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main()
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