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Initial attempt at a scalar callback-based metric to give instantaneous snapshot gauges
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@ -13,7 +13,7 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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from .metric import CounterMetric, CacheCounterMetric
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from .metric import CounterMetric, CallbackMetric, CacheCounterMetric
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# We'll keep all the available metrics in a single toplevel dict, one shared
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# We'll keep all the available metrics in a single toplevel dict, one shared
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@ -43,6 +43,15 @@ class Metrics(object):
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return metric
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return metric
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def register_callback(self, name, callback, *args, **kwargs):
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full_name = "%s.%s" % (self.name_prefix, name)
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metric = CallbackMetric(full_name, *args, callback=callback, **kwargs)
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self._register(metric)
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return metric
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def register_cachecounter(self, name, *args, **kwargs):
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def register_cachecounter(self, name, *args, **kwargs):
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full_name = "%s.%s" % (self.name_prefix, name)
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full_name = "%s.%s" % (self.name_prefix, name)
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@ -62,6 +62,20 @@ class CounterMetric(BaseMetric):
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for k in sorted(self.counts.keys())]
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for k in sorted(self.counts.keys())]
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class CallbackMetric(BaseMetric):
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"""A metric that returns the numeric value returned by a callback whenever
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it is rendered. Typically this is used to implement gauges that yield the
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size or other state of some in-memory object by actively querying it."""
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def __init__(self, name, callback, keys=[]):
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super(CallbackMetric, self).__init__(name, keys=keys)
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self.callback = callback
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def render(self):
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# TODO(paul): work out something we can do with keys and vectors
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return ["%s %d" % (self.name, self.callback())]
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class CacheCounterMetric(object):
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class CacheCounterMetric(object):
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"""A combination of two CounterMetrics, one to count cache hits and one to
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"""A combination of two CounterMetrics, one to count cache hits and one to
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count misses.
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count misses.
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@ -15,7 +15,9 @@
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from tests import unittest
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from tests import unittest
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from synapse.metrics.metric import CounterMetric, CacheCounterMetric
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from synapse.metrics.metric import (
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CounterMetric, CallbackMetric, CacheCounterMetric
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)
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class CounterMetricTestCase(unittest.TestCase):
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class CounterMetricTestCase(unittest.TestCase):
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@ -61,6 +63,24 @@ class CounterMetricTestCase(unittest.TestCase):
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])
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])
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class CallbackMetricTestCase(unittest.TestCase):
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def test_callback(self):
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d = dict()
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metric = CallbackMetric("size", lambda: len(d))
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self.assertEquals(metric.render(), [
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"size 0",
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])
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d["key"] = "value"
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self.assertEquals(metric.render(), [
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"size 1",
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])
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class CacheCounterMetricTestCase(unittest.TestCase):
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class CacheCounterMetricTestCase(unittest.TestCase):
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def test_cachecounter(self):
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def test_cachecounter(self):
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