def testPut(self):
cache = getReadThroughCache()
testKey = self._getKey('ds', 'dp', 'rra', 'perf/path', '1')
cache.put('ds', 'dp', 'rra', 'perf/path', '1', 42.0)
cache._readLastValue = mockReturnValue(54.11)
self.assertIn(testKey, cache._cache)
self.assertEqual(cache.getLastValue('ds', 'dp', 'rra', False, 1, {'rrdpath': 'perf/path', 'uuid': 1}), 42.0)
def testGetLastValues(self):
cache = getReadThroughCache()
targets = [{'rrdpath': 'perf/path1', 'uuid': '1'},
{'rrdpath': 'perf/path2', 'uuid': '2'}]
testKeys = [
self._getKey('ds', 'dp', 'rra', target['rrdpath'], target['uuid'])
for target in targets]
cache._readLastValue = mockReturnValue(54.11)
for testKey in testKeys:
self.assertNotIn(testKey, cache._cache)
expectedValues = cache.getLastValues(
'ds', 'dp', 'rra', False, 1, targets)[0]
self.assertDictEqual(
{k: v for k, v in expectedValues.iteritems()},
{'1': 54.11, '2': 54.11})
for testKey in testKeys:
self.assertIn(testKey, cache._cache)
cache._readLastValue = mockReturnValue(65.43)
expectedValues = cache.getLastValues(
'ds', 'dp', 'rra', False, 1, targets)[0]
self.assertDictEqual(
{k: v for k, v in expectedValues.iteritems()},
{'1': 54.11, '2': 54.11})
cache._readLastValue = mockReturnValue(None)
expectedValues = cache.getLastValues(
'ds', 'dp', 'rra', False, 1, targets)[0]
self.assertDictEqual(
{k: v for k, v in expectedValues.iteritems()},
{'1': 54.11, '2': 54.11})
def _getKey(self, ds, dp, rra, rrdpath, uuid):
"""Return correct cache key for cache implementation."""
cache = getReadThroughCache()
self.assertIn(cache._targetKey, ('rrdpath', 'uuid'))
if cache._targetKey == 'uuid':
return cache._getKey(ds, dp, rra, uuid)
elif cache._targetKey == 'rrdpath':
return cache._getKey(ds, dp, rra, rrdpath)
def __init__(self, config):
self.log = ContextLogAdapter(
LOG, {'context': '{} ({}):'.format(
self.__class__.__name__, config.id)})
# This is a per-run cache of latest RRD values by path+RRA,
# used in case of multiple different aggregated datapoints
# on a single target datasource.
self.rrdcache = getReadThroughCache()
def __init__(self):
#This is a per-run cache of latest RRD values by path+RRA, used in case of multiple
#different aggregated datapoints on a single target datasource.
self.rrdcache = getReadThroughCache()