Eliminated processing_meta from hourly metrics.

Change-Id: Ibcb00cae12d87e93546bddf14a796662425f7167
This commit is contained in:
Flint Calvin 2016-08-18 23:16:12 +00:00
parent 0365bfa5bb
commit eff0e74c50
2 changed files with 1 additions and 30 deletions

View File

@ -87,10 +87,6 @@ class InsertComponent(Component):
"lastrecord_timestamp_string": "lastrecord_timestamp_string":
instance_usage_dict.get( instance_usage_dict.get(
"lastrecord_timestamp_string", "lastrecord_timestamp_string",
Component.DEFAULT_UNAVAILABLE_VALUE),
"processing_meta":
instance_usage_dict.get(
"processing_meta",
Component.DEFAULT_UNAVAILABLE_VALUE)} Component.DEFAULT_UNAVAILABLE_VALUE)}
metric_part = {"name": instance_usage_dict.get( metric_part = {"name": instance_usage_dict.get(
@ -112,11 +108,6 @@ class InsertComponent(Component):
"""write data to kafka. extracts and formats """write data to kafka. extracts and formats
metric data and write s the data to kafka metric data and write s the data to kafka
""" """
try:
processing_meta = row.processing_meta
except AttributeError:
processing_meta = {}
instance_usage_dict = {"tenant_id": row.tenant_id, instance_usage_dict = {"tenant_id": row.tenant_id,
"user_id": row.user_id, "user_id": row.user_id,
"resource_uuid": row.resource_uuid, "resource_uuid": row.resource_uuid,
@ -139,8 +130,7 @@ class InsertComponent(Component):
"usage_hour": row.usage_hour, "usage_hour": row.usage_hour,
"usage_minute": row.usage_minute, "usage_minute": row.usage_minute,
"aggregation_period": "aggregation_period":
row.aggregation_period, row.aggregation_period}
"processing_meta": processing_meta}
metric = InsertComponent._prepare_metric(instance_usage_dict, metric = InsertComponent._prepare_metric(instance_usage_dict,
agg_params) agg_params)
return metric return metric

View File

@ -1187,25 +1187,6 @@ class SparkTest(SparkContextTest):
.get('value_meta') .get('value_meta')
.get('lastrecord_timestamp_string')) .get('lastrecord_timestamp_string'))
self.assertEqual('3363.4285714285716',
diskusage_rate_agg_metric.get('metric')
.get('value_meta')
.get('processing_meta').get('latest_quantity'))
self.assertEqual('2016-06-10 20:27:01',
diskusage_rate_agg_metric.get('metric')
.get('value_meta')
.get('processing_meta')
.get('latest_timestamp_string'))
self.assertEqual('2721.0',
diskusage_rate_agg_metric.get('metric')
.get('value_meta')
.get('processing_meta').get('oldest_quantity'))
self.assertEqual('2016-06-10 20:27:01',
diskusage_rate_agg_metric.get('metric')
.get('value_meta')
.get('processing_meta')
.get('oldest_timestamp_string'))
# Verify nova.vm.cpu.total_allocated_agg metrics # Verify nova.vm.cpu.total_allocated_agg metrics
nova_vm_cpu_total_alloc_agg_metric = [ nova_vm_cpu_total_alloc_agg_metric = [
value for value in metrics value for value in metrics