Rename "handle" to "bound metric" (#470)

bound metric is the new name, as dictated in the spec.

README.md

@@ -77,20 +77,20 @@ from opentelemetry.sdk.metrics.export.controller import PushController
 metrics.set_preferred_meter_provider_implementation(lambda _: MeterProvider())
 meter = metrics.get_meter(__name__)
 exporter = ConsoleMetricsExporter()
-controller = PushController(meter, exporter, 5)
+controller = PushController(meter=meter, exporter=exporter, interval=5)
 
 counter = meter.create_metric(
-    "available memory",
-    "available memory",
-    "bytes",
-    int,
-    Counter,
-    ("environment",),
+    name="available memory",
+    description="available memory",
+    unit="bytes",
+    value_type=int,
+    metric_type=Counter,
+    label_keys=("environment",),
 )
 
-label_values = ("staging",)
-counter_handle = counter.get_handle(label_values)
-counter_handle.add(100)
+label_set = meter.get_label_set({"environment": "staging"})
+bound_counter = counter.bind(label_set)
+bound_counter.add(100)
 ```
 
 See the [API documentation](https://open-telemetry.github.io/opentelemetry-python/) for more detail, and the [examples folder](./examples) for a more sample code.

docs/examples/metrics/record.py

@@ -60,13 +60,15 @@
 # The meter takes a dictionary of key value pairs
 label_set = meter.get_label_set({"environment": "staging"})
 
-# Handle usage
-# You can record metrics with metric handles. Handles are created by passing in
-# a labelset. A handle is essentially metric data that corresponds to a specific
-# set of labels. Therefore, getting a handle using the same set of labels will
-# yield the same metric handle.
-counter_handle = counter.get_handle(label_set)
-counter_handle.add(100)
+# Bound instrument usage
+
+# You can record metrics with bound metric instruments. Bound metric
+# instruments are created by passing in a labelset. A bound metric instrument
+# is essentially metric data that corresponds to a specific set of labels.
+# Therefore, getting a bound metric instrument using the same set of labels
+# will yield the same bound metric instrument.
+bound_counter = counter.bind(label_set)
+bound_counter.add(100)
 
 # Direct metric usage
 # You can record metrics directly using the metric instrument. You pass in a

opentelemetry-api/src/opentelemetry/metrics/__init__.py

@@ -37,54 +37,54 @@
 ValueT = TypeVar("ValueT", int, float)
 
 
-class DefaultMetricHandle:
-    """The default MetricHandle.
+class DefaultBoundInstrument:
+    """The default bound metric instrument.
 
-    Used when no MetricHandle implementation is available.
+    Used when no bound instrument implementation is available.
     """
 
     def add(self, value: ValueT) -> None:
-        """No-op implementation of `CounterHandle` add.
+        """No-op implementation of `BoundCounter` add.
 
         Args:
-            value: The value to add to the handle.
+            value: The value to add to the bound metric instrument.
         """
 
     def record(self, value: ValueT) -> None:
-        """No-op implementation of `MeasureHandle` record.
+        """No-op implementation of `BoundMeasure` record.
 
         Args:
-            value: The value to record to the handle.
+            value: The value to record to the bound metric instrument.
         """
 
 
-class CounterHandle:
+class BoundCounter:
     def add(self, value: ValueT) -> None:
-        """Increases the value of the handle by ``value``.
+        """Increases the value of the bound counter by ``value``.
 
         Args:
-            value: The value to add to the handle.
+            value: The value to add to the bound counter.
         """
 
 
-class MeasureHandle:
+class BoundMeasure:
     def record(self, value: ValueT) -> None:
-        """Records the given ``value`` to this handle.
+        """Records the given ``value`` to this bound measure.
 
         Args:
-            value: The value to record to the handle.
+            value: The value to record to the bound measure.
         """
 
 
 class LabelSet(abc.ABC):
     """A canonicalized set of labels useful for preaggregation
 
     Re-usable LabelSet objects provide a potential optimization for scenarios
-    where handles might not be effective. For example, if the LabelSet will be
-    re-used but only used once per metrics, handles do not offer any
-    optimization. It may best to pre-compute a canonicalized LabelSet once and
-    re-use it with the direct calling convention. LabelSets are immutable and
-    should be opaque in implementation.
+    where bound metric instruments might not be effective. For example, if the
+    LabelSet will be re-used but only used once per metrics, bound metric
+    instruments do not offer any optimization. It may best to pre-compute a
+    canonicalized LabelSet once and re-use it with the direct calling
+    convention. LabelSets are immutable and should be opaque in implementation.
     """
 
 
@@ -99,66 +99,67 @@ class Metric(abc.ABC):
     """Base class for various types of metrics.
 
     Metric class that inherit from this class are specialized with the type of
-    handle that the metric holds.
+    bound metric instrument that the metric holds.
     """
 
     @abc.abstractmethod
-    def get_handle(self, label_set: LabelSet) -> "object":
-        """Gets a handle, used for repeated-use of metrics instruments.
+    def bind(self, label_set: LabelSet) -> "object":
+        """Gets a bound metric instrument.
 
-        Handles are useful to reduce the cost of repeatedly recording a metric
-        with a pre-defined set of label values. All metric kinds (counter,
-        measure) support declaring a set of required label keys. The
-        values corresponding to these keys should be specified in every handle.
-        "Unspecified" label values, in cases where a handle is requested but
-        a value was not provided are permitted.
+        Bound metric instruments are useful to reduce the cost of repeatedly
+        recording a metric with a pre-defined set of label values. All metric
+        kinds (counter, measure) support declaring a set of required label
+        keys. The values corresponding to these keys should be specified in
+        every bound metric instrument. "Unspecified" label values, in cases
+        where a bound metric instrument is requested but a value was not
+        provided are permitted.
 
         Args:
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the bound instrument.
         """
 
 
 class DefaultMetric(Metric):
     """The default Metric used when no Metric implementation is available."""
 
-    def get_handle(self, label_set: LabelSet) -> "DefaultMetricHandle":
-        """Gets a `DefaultMetricHandle`.
+    def bind(self, label_set: LabelSet) -> "DefaultBoundInstrument":
+        """Gets a `DefaultBoundInstrument`.
 
         Args:
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the bound instrument.
         """
-        return DefaultMetricHandle()
+        return DefaultBoundInstrument()
 
     def add(self, value: ValueT, label_set: LabelSet) -> None:
         """No-op implementation of `Counter` add.
 
         Args:
             value: The value to add to the counter metric.
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the bound instrument.
         """
 
     def record(self, value: ValueT, label_set: LabelSet) -> None:
         """No-op implementation of `Measure` record.
 
         Args:
             value: The value to record to this measure metric.
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the bound instrument.
         """
 
 
 class Counter(Metric):
     """A counter type metric that expresses the computation of a sum."""
 
-    def get_handle(self, label_set: LabelSet) -> "CounterHandle":
-        """Gets a `CounterHandle`."""
-        return CounterHandle()
+    def bind(self, label_set: LabelSet) -> "BoundCounter":
+        """Gets a `BoundCounter`."""
+        return BoundCounter()
 
     def add(self, value: ValueT, label_set: LabelSet) -> None:
         """Increases the value of the counter by ``value``.
 
         Args:
             value: The value to add to the counter metric.
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the returned bound counter.
         """
 
 
@@ -168,21 +169,22 @@ class Measure(Metric):
     Measure metrics represent raw statistics that are recorded.
     """
 
-    def get_handle(self, label_set: LabelSet) -> "MeasureHandle":
-        """Gets a `MeasureHandle` with a float value."""
-        return MeasureHandle()
+    def bind(self, label_set: LabelSet) -> "BoundMeasure":
+        """Gets a `BoundMeasure`."""
+        return BoundMeasure()
 
     def record(self, value: ValueT, label_set: LabelSet) -> None:
         """Records the ``value`` to the measure.
 
         Args:
             value: The value to record to this measure metric.
-            label_set: `LabelSet` to associate with the returned handle.
+            label_set: `LabelSet` to associate with the returned bound measure.
         """
 
 
 class Observer(abc.ABC):
-    """An observer type metric instrument used to capture a current set of values.
+    """An observer type metric instrument used to capture a current set of
+    values.
 
 
     Observer instruments are asynchronous, a callback is invoked with the
@@ -283,16 +285,15 @@ def record_batch(
     ) -> None:
         """Atomically records a batch of `Metric` and value pairs.
 
-        Allows the functionality of acting upon multiple metrics with
-        a single API call. Implementations should find metric and handles that
-        match the key-value pairs in the label tuples.
+        Allows the functionality of acting upon multiple metrics with a single
+        API call. Implementations should find bound metric instruments that
+        match the key-value pairs in the labelset.
 
-        Args:
-            label_set: The `LabelSet` associated with all measurements in
-                the batch. A measurement is a tuple, representing the `Metric`
-                being recorded and the corresponding value to record.
-            record_tuples: A sequence of pairs of `Metric` s and the
-                corresponding value to record for that metric.
+        Args: label_set: The `LabelSet` associated with all measurements in the
+            batch. A measurement is a tuple, representing the `Metric` being
+            recorded and the corresponding value to record. record_tuples: A
+            sequence of pairs of `Metric` s and the corresponding value to
+            record for that metric.
         """
 
     @abc.abstractmethod

opentelemetry-api/tests/metrics/test_metrics.py

@@ -22,14 +22,16 @@ class TestMetrics(unittest.TestCase):
     def test_default(self):
         default = metrics.DefaultMetric()
         default_ls = metrics.DefaultLabelSet()
-        handle = default.get_handle(default_ls)
-        self.assertIsInstance(handle, metrics.DefaultMetricHandle)
+        bound_metric_instr = default.bind(default_ls)
+        self.assertIsInstance(
+            bound_metric_instr, metrics.DefaultBoundInstrument
+        )
 
     def test_counter(self):
         counter = metrics.Counter()
         label_set = metrics.LabelSet()
-        handle = counter.get_handle(label_set)
-        self.assertIsInstance(handle, metrics.CounterHandle)
+        bound_counter = counter.bind(label_set)
+        self.assertIsInstance(bound_counter, metrics.BoundCounter)
 
     def test_counter_add(self):
         counter = metrics.Counter()
@@ -39,21 +41,21 @@ def test_counter_add(self):
     def test_measure(self):
         measure = metrics.Measure()
         label_set = metrics.LabelSet()
-        handle = measure.get_handle(label_set)
-        self.assertIsInstance(handle, metrics.MeasureHandle)
+        bound_measure = measure.bind(label_set)
+        self.assertIsInstance(bound_measure, metrics.BoundMeasure)
 
     def test_measure_record(self):
         measure = metrics.Measure()
         label_set = metrics.LabelSet()
         measure.record(1, label_set)
 
-    def test_default_handle(self):
-        metrics.DefaultMetricHandle()
+    def test_default_bound_metric(self):
+        metrics.DefaultBoundInstrument()
 
-    def test_counter_handle(self):
-        handle = metrics.CounterHandle()
-        handle.add(1)
+    def test_bound_counter(self):
+        bound_counter = metrics.BoundCounter()
+        bound_counter.add(1)
 
-    def test_measure_handle(self):
-        handle = metrics.MeasureHandle()
-        handle.record(1)
+    def test_bound_measure(self):
+        bound_measure = metrics.BoundMeasure()
+        bound_measure.record(1)