def _promote_args()

in awscli/customizations/putmetricdata.py [0:0]

• 40 lines of code
• 1 McCabe index (conditional complexity)

def _promote_args(argument_table, operation_model, **kwargs):
    # We're providing top level params for metric-data.  This means
    # that metric-data is now longer a required arg.  We do need
    # to check that either metric-data or the complex args we've added
    # have been provided.
    argument_table['metric-data'].required = False

    argument_table['metric-name'] = PutMetricArgument(
        'metric-name', help_text='The name of the metric.')
    argument_table['timestamp'] = PutMetricArgument(
        'timestamp', help_text='The time stamp used for the metric.  '
                               'If not specified, the default value is '
                               'set to the time the metric data was '
                               'received.')
    argument_table['unit'] = PutMetricArgument(
        'unit', help_text='The unit of metric.')
    argument_table['value'] = PutMetricArgument(
        'value', help_text='The value for the metric.  Although the --value '
                           'parameter accepts numbers of type Double, '
                           'Amazon CloudWatch truncates values with very '
                           'large exponents.  Values with base-10 exponents '
                           'greater than 126 (1 x 10^126) are truncated.  '
                           'Likewise, values with base-10 exponents less '
                           'than -130 (1 x 10^-130) are also truncated.')

    argument_table['dimensions'] = PutMetricArgument(
        'dimensions', help_text=(
            'The --dimensions argument further expands '
            'on the identity of a metric using a Name=Value '
            'pair, separated by commas, for example: '
            '<code>--dimensions InstanceID=1-23456789,InstanceType=m1.small'
            '</code>. Note that the <code>--dimensions</code> argument has a '
            'different format when used in <code>get-metric-data</code>, '
            'where for the same example you would use the format '
            '<code>--dimensions Name=InstanceID,Value=i-aaba32d4 '
            'Name=InstanceType,value=m1.small </code>.'
        )
    )
    argument_table['statistic-values'] = PutMetricArgument(
        'statistic-values', help_text='A set of statistical values describing '
                                      'the metric.')

    metric_data = operation_model.input_shape.members['MetricData'].member
    storage_resolution = metric_data.members['StorageResolution']
    argument_table['storage-resolution'] = PutMetricArgument(
        'storage-resolution', help_text=storage_resolution.documentation
    )