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author | Ilya Tyaptin <ityaptin@mirantis.com> | 2016-03-03 20:12:06 +0300 |
---|---|---|
committer | gordon chung <gord@live.ca> | 2016-04-11 16:55:36 +0000 |
commit | af3cb7b5245a572763501502ba33b21a36a26492 (patch) | |
tree | b91365191c40f85c1ded6a672ad2c59aaa37879f | |
parent | 098ae2805a7692a59643db5253cfc398bff7e243 (diff) | |
download | ceilometer-af3cb7b5245a572763501502ba33b21a36a26492.tar.gz |
Cast Int64 values to int, float in statistics
Currently statistics requests fail with type errors.
It causes by the fact that pymongo returns bson.Int64
instead of float or int for big nums. It affects a `cpu`
meter usually.
Change-Id: I744a9f79a4bbc3b2ecdd73c126b0859f3f8a733c
Closes-bug: #1532661
(cherry picked from commit 1d73a6f12f123743e51674b5dbc876bf3d600cd8)
-rw-r--r-- | ceilometer/storage/impl_mongodb.py | 5 | ||||
-rw-r--r-- | ceilometer/storage/mongo/utils.py | 20 | ||||
-rw-r--r-- | ceilometer/tests/functional/api/v2/test_statistics_scenarios.py | 42 |
3 files changed, 58 insertions, 9 deletions
diff --git a/ceilometer/storage/impl_mongodb.py b/ceilometer/storage/impl_mongodb.py index 586120fd..b7e3eadb 100644 --- a/ceilometer/storage/impl_mongodb.py +++ b/ceilometer/storage/impl_mongodb.py @@ -623,9 +623,10 @@ class Connection(pymongo_base.Connection): def _stats_result_aggregates(self, result, aggregate): stats_args = {} - for attr in Connection.STANDARD_AGGREGATES.keys(): + for attr, func in Connection.STANDARD_AGGREGATES.items(): if attr in result: - stats_args[attr] = result[attr] + stats_args.update(func.finalize(result, + version_array=self.version)) if aggregate: stats_args['aggregate'] = {} diff --git a/ceilometer/storage/mongo/utils.py b/ceilometer/storage/mongo/utils.py index e2a26509..0bc63cfd 100644 --- a/ceilometer/storage/mongo/utils.py +++ b/ceilometer/storage/mongo/utils.py @@ -48,7 +48,8 @@ OP_SIGN = {'lt': '$lt', 'le': '$lte', 'ne': '$ne', 'gt': '$gt', 'ge': '$gte'} MINIMUM_COMPATIBLE_MONGODB_VERSION = [2, 4] COMPLETE_AGGREGATE_COMPATIBLE_VERSION = [2, 6] -FINALIZE_AGGREGATION_LAMBDA = lambda result, param=None: float(result) +FINALIZE_FLOAT_LAMBDA = lambda result, param=None: float(result) +FINALIZE_INT_LAMBDA = lambda result, param=None: int(result) CARDINALITY_VALIDATION = (lambda name, param: param in ['resource_id', 'user_id', 'project_id', @@ -525,7 +526,7 @@ class AggregationFields(object): finalize=None, parametrized=False, validate=None): - self._finalize = finalize or FINALIZE_AGGREGATION_LAMBDA + self._finalize = finalize or FINALIZE_FLOAT_LAMBDA self.group = lambda *args: group(*args) if parametrized else group self.project = (lambda *args: project(*args) if parametrized else project) @@ -576,23 +577,28 @@ class Aggregation(object): SUM_AGGREGATION = Aggregation( "sum", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, {"sum": {"$sum": "$counter_volume"}}, - {"sum": "$sum"})) + {"sum": "$sum"}, + )) AVG_AGGREGATION = Aggregation( "avg", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, {"avg": {"$avg": "$counter_volume"}}, - {"avg": "$avg"})) + {"avg": "$avg"}, + )) MIN_AGGREGATION = Aggregation( "min", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, {"min": {"$min": "$counter_volume"}}, - {"min": "$min"})) + {"min": "$min"}, + )) MAX_AGGREGATION = Aggregation( "max", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, {"max": {"$max": "$counter_volume"}}, - {"max": "$max"})) + {"max": "$max"}, + )) COUNT_AGGREGATION = Aggregation( "count", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, {"count": {"$sum": 1}}, - {"count": "$count"})) + {"count": "$count"}, + FINALIZE_INT_LAMBDA)) STDDEV_AGGREGATION = Aggregation( "stddev", AggregationFields(MINIMUM_COMPATIBLE_MONGODB_VERSION, diff --git a/ceilometer/tests/functional/api/v2/test_statistics_scenarios.py b/ceilometer/tests/functional/api/v2/test_statistics_scenarios.py index 18edf8c1..607ff074 100644 --- a/ceilometer/tests/functional/api/v2/test_statistics_scenarios.py +++ b/ceilometer/tests/functional/api/v2/test_statistics_scenarios.py @@ -1659,3 +1659,45 @@ class TestUnparameterizedAggregates(v2.FunctionalTest, places=4) for a in standard_aggregates: self.assertNotIn(a, r) + + +@tests_db.run_with('mongodb') +class TestBigValueStatistics(v2.FunctionalTest): + + PATH = '/meters/volume.size/statistics' + + def setUp(self): + super(TestBigValueStatistics, self).setUp() + for i in range(0, 3): + s = sample.Sample( + 'volume.size', + 'gauge', + 'GiB', + (i + 1) * (10 ** 12), + 'user-id', + 'project1', + 'resource-id', + timestamp=datetime.datetime(2012, 9, 25, 10 + i, 30 + i), + resource_metadata={'display_name': 'test-volume', + 'tag': 'self.sample', + }, + source='source1', + ) + msg = utils.meter_message_from_counter( + s, self.CONF.publisher.telemetry_secret, + ) + self.conn.record_metering_data(msg) + + def test_big_value_statistics(self): + data = self.get_json(self.PATH) + + expected_values = {'count': 3, + 'min': 10 ** 12, + 'max': 3 * 10 ** 12, + 'sum': 6 * 10 ** 12, + 'avg': 2 * 10 ** 12} + self.assertEqual(1, len(data)) + for d in data: + for name, expected_value in expected_values.items(): + self.assertIn(name, d) + self.assertEqual(expected_value, d[name]) |