The watcher.datasource.gnocchi Module¶

class watcher.datasource.gnocchi.GnocchiHelper(osc=None)[source]¶

Bases: watcher.datasource.base.DataSourceBase

check_availability()[source]¶

get_host_airflow(resource_id, period, aggregate, granularity=300)[source]¶

get_host_cpu_usage(resource_id, period, aggregate, granularity=300)[source]¶

get_host_inlet_temperature(resource_id, period, aggregate, granularity=300)[source]¶

get_host_memory_usage(resource_id, period, aggregate, granularity=300)[source]¶

get_host_outlet_temperature(resource_id, period, aggregate, granularity=300)[source]¶

get_host_power(resource_id, period, aggregate, granularity=300)[source]¶

get_instance_cpu_usage(resource_id, period, aggregate, granularity=300)[source]¶

get_instance_l3_cache_usage(resource_id, period, aggregate, granularity=300)[source]¶

get_instance_memory_usage(resource_id, period, aggregate, granularity=300)[source]¶

get_instance_ram_allocated(resource_id, period, aggregate, granularity=300)[source]¶

get_instance_root_disk_allocated(resource_id, period, aggregate, granularity=300)[source]¶

list_metrics()[source]¶

List the user’s meters.

query_retry(f, *args, **kwargs)[source]¶

statistic_aggregation(resource_id=None, meter_name=None, period=300, granularity=300, dimensions=None, aggregation='mean', group_by='*')[source]¶

Representing a statistic aggregate by operators

Parameters:

resource_id – id of resource to list statistics for. meter_name – meter name of which we want the statistics. period – Period in seconds over which to group samples. granularity – frequency of marking metric point, in seconds. dimensions – dimensions (dict). This param isn’t used in Gnocchi datasource. aggregation – Should be chosen in accordance with policy aggregations. group_by – list of columns to group the metrics to be returned. This param isn’t used in Gnocchi datasource.

Returns:

value of aggregated metric