Kafka metrics java port. No reporters or instrumentation.

There is no straight translation for the JMX reporter into python,
so I'll do something else in a separate commit.

1 files changed, 32 insertions, 0 deletions

diff --git a/kafka/metrics/compound_stat.py b/kafka/metrics/compound_stat.py
new file mode 100644
index 0000000..09bc24a
--- /dev/null
+++ b/kafka/metrics/compound_stat.py
@@ -0,0 +1,32 @@
+import abc
+
+from kafka.metrics.stat import AbstractStat
+
+
+class AbstractCompoundStat(AbstractStat):
+    """
+    A compound stat is a stat where a single measurement and associated
+    data structure feeds many metrics. This is the example for a
+    histogram which has many associated percentiles.
+    """
+    __metaclass__ = abc.ABCMeta
+
+    def stats(self):
+        """
+        Return list of NamedMeasurable
+        """
+        raise NotImplementedError
+
+
+class NamedMeasurable(object):
+    def __init__(self, metric_name, measurable_stat):
+        self._name = metric_name
+        self._stat = measurable_stat
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def stat(self):
+        return self._stat