total_avail_bytes: int
total_bytes: int
total_used_raw_bytes: int
+ total_objects: int
+ total_pool_bytes_used: int
+ average_object_size: int
class ClusterModel:
@classmethod
def get_capacity(cls) -> ClusterCapacity:
df = mgr.get('df')
- return ClusterCapacity(total_avail_bytes=df['stats']['total_avail_bytes'],
- total_bytes=df['stats']['total_bytes'],
- total_used_raw_bytes=df['stats']['total_used_raw_bytes'])._asdict()
+ total_pool_bytes_used = 0
+ average_object_size = 0
+ total_data_pool_objects = 0
+ total_data_pool_bytes_used = 0
+ rgw_pools_data = cls.get_rgw_pools()
+
+ for pool in df['pools']:
+ pool_name = str(pool['name'])
+ if pool_name in rgw_pools_data:
+ if pool_name.endswith('.data'):
+ objects = pool['stats']['objects']
+ pool_bytes_used = pool['stats']['bytes_used']
+ total_pool_bytes_used += pool_bytes_used
+ total_data_pool_objects += objects
+ replica = rgw_pools_data[pool_name]
+ total_data_pool_bytes_used += pool_bytes_used / replica
+
+ average_object_size = total_data_pool_bytes_used / total_data_pool_objects if total_data_pool_objects != 0 else 0 # noqa E501 #pylint: disable=line-too-long
+
+ return ClusterCapacity(
+ total_avail_bytes=df['stats']['total_avail_bytes'],
+ total_bytes=df['stats']['total_bytes'],
+ total_used_raw_bytes=df['stats']['total_used_raw_bytes'],
+ total_objects=total_data_pool_objects,
+ total_pool_bytes_used=total_pool_bytes_used,
+ average_object_size=average_object_size
+ )._asdict()
+
+ @classmethod
+ def get_rgw_pools(cls):
+ rgw_pool_size = {}
+
+ osd_map = mgr.get('osd_map')
+ for pool in osd_map['pools']:
+ if 'rgw' in pool.get('application_metadata', {}):
+ name = pool['pool_name']
+ rgw_pool_size[name] = pool['size']
+ return rgw_pool_size