本文整理汇总了Python中boto.ec2.autoscale.AutoScaleConnection.get_all_metric_collection_types方法的典型用法代码示例。如果您正苦于以下问题：Python AutoScaleConnection.get_all_metric_collection_types方法的具体用法？Python AutoScaleConnection.get_all_metric_collection_types怎么用？Python AutoScaleConnection.get_all_metric_collection_types使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类boto.ec2.autoscale.AutoScaleConnection的用法示例。
在下文中一共展示了AutoScaleConnection.get_all_metric_collection_types方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_basic
# 需要导入模块: from boto.ec2.autoscale import AutoScaleConnection [as 别名]
# 或者: from boto.ec2.autoscale.AutoScaleConnection import get_all_metric_collection_types [as 别名]
def test_basic(self):
# NB: as it says on the tin these are really basic tests that only
# (lightly) exercise read-only behaviour - and that's only if you
# have any autoscale groups to introspect. It's useful, however, to
# catch simple errors
print('--- running %s tests ---' % self.__class__.__name__)
c = AutoScaleConnection()
self.assertTrue(repr(c).startswith('AutoScaleConnection'))
groups = c.get_all_groups()
for group in groups:
self.assertIsInstance(group, AutoScalingGroup)
# get activities
activities = group.get_activities()
for activity in activities:
self.assertIsInstance(activity, Activity)
# get launch configs
configs = c.get_all_launch_configurations()
for config in configs:
self.assertIsInstance(config, LaunchConfiguration)
# get policies
policies = c.get_all_policies()
for policy in policies:
self.assertIsInstance(policy, ScalingPolicy)
# get scheduled actions
actions = c.get_all_scheduled_actions()
for action in actions:
self.assertIsInstance(action, ScheduledUpdateGroupAction)
# get instances
instances = c.get_all_autoscaling_instances()
for instance in instances:
self.assertIsInstance(instance, Instance)
# get all scaling process types
ptypes = c.get_all_scaling_process_types()
for ptype in ptypes:
self.assertTrue(ptype, ProcessType)
# get adjustment types
adjustments = c.get_all_adjustment_types()
for adjustment in adjustments:
self.assertIsInstance(adjustment, AdjustmentType)
# get metrics collection types
types = c.get_all_metric_collection_types()
self.assertIsInstance(types, MetricCollectionTypes)
# create the simplest possible AutoScale group
# first create the launch configuration
time_string = '%d' % int(time.time())
lc_name = 'lc-%s' % time_string
lc = LaunchConfiguration(name=lc_name, image_id='ami-2272864b',
instance_type='t1.micro')
c.create_launch_configuration(lc)
found = False
lcs = c.get_all_launch_configurations()
for lc in lcs:
if lc.name == lc_name:
found = True
break
assert found
# now create autoscaling group
group_name = 'group-%s' % time_string
group = AutoScalingGroup(name=group_name, launch_config=lc,
availability_zones=['us-east-1a'],
min_size=1, max_size=1)
c.create_auto_scaling_group(group)
found = False
groups = c.get_all_groups()
for group in groups:
if group.name == group_name:
found = True
break
assert found
# now create a tag
tag = Tag(key='foo', value='bar', resource_id=group_name,
propagate_at_launch=True)
c.create_or_update_tags([tag])
found = False
tags = c.get_all_tags()
for tag in tags:
if tag.resource_id == group_name and tag.key == 'foo':
found = True
break
assert found
c.delete_tags([tag])
# shutdown instances and wait for them to disappear
#.........这里部分代码省略.........