Python get_autoscale_statistic_map 예제들

예제 #1

파일: validators.py 프로젝트: sdas-tech/azure-cli

def validate_autoscale_timegrain(namespace):
    from azure.mgmt.monitor.models import MetricTrigger
    from azure.cli.command_modules.monitor.actions import period_type
    from azure.cli.command_modules.monitor.util import get_autoscale_statistic_map

    values = namespace.timegrain
    if len(values) == 1:
        # workaround because CMD.exe eats > character... Allows condition to be
        # specified as a quoted expression
        values = values[0].split(' ')
    name_offset = 0
    try:
        time_grain = period_type(values[1])
        name_offset += 1
    except ValueError:
        time_grain = period_type('1m')
    try:
        statistic = get_autoscale_statistic_map()[values[0]]
        name_offset += 1
    except KeyError:
        statistic = get_autoscale_statistic_map()['avg']
    timegrain = MetricTrigger(metric_name=None,
                              metric_resource_uri=None,
                              time_grain=time_grain,
                              statistic=statistic,
                              time_window=None,
                              time_aggregation=None,
                              operator=None,
                              threshold=None)
    namespace.timegrain = timegrain

예제 #2

파일: validators.py 프로젝트: derekbekoe/azure-cli

def validate_autoscale_timegrain(namespace):
    from azure.mgmt.monitor.models import MetricTrigger
    from azure.cli.command_modules.monitor.actions import period_type
    from azure.cli.command_modules.monitor.util import get_autoscale_statistic_map

    values = namespace.timegrain
    if len(values) == 1:
        # workaround because CMD.exe eats > character... Allows condition to be
        # specified as a quoted expression
        values = values[0].split(' ')
    name_offset = 0
    try:
        time_grain = period_type(values[1])
        name_offset += 1
    except ValueError:
        time_grain = period_type('1m')
    try:
        statistic = get_autoscale_statistic_map()[values[0]]
        name_offset += 1
    except KeyError:
        statistic = get_autoscale_statistic_map()['avg']
    timegrain = MetricTrigger(
        metric_name=None,
        metric_resource_uri=None,
        time_grain=time_grain,
        statistic=statistic,
        time_window=None,
        time_aggregation=None,
        operator=None,
        threshold=None
    )
    namespace.timegrain = timegrain