Add stats and metrics reprs

opencensus/metrics/export/metric.py

@@ -42,6 +42,13 @@ def __init__(self, descriptor, time_series):
         self._descriptor = descriptor
         self._check_type()
 
+    def __repr__(self):
+        return ('{}(descriptor.name="{}")'
+                .format(
+                    type(self).__name__,
+                    self.descriptor.name
+                ))
+
     @property
     def time_series(self):
         return self._time_series

opencensus/metrics/export/metric_descriptor.py

@@ -142,6 +142,17 @@ def __init__(self, name, description, unit, type_, label_keys):
         self._type = type_
         self._label_keys = label_keys
 
+    def __repr__(self):
+        type_name = MetricDescriptorType.to_type_class(self.type).__name__
+        return ('{}(name="{}", description="{}", unit={}, type={})'
+                .format(
+                    type(self).__name__,
+                    self.name,
+                    self.description,
+                    self.unit,
+                    type_name,
+                ))
+
     @property
     def name(self):
         return self._name

opencensus/metrics/export/point.py

@@ -36,3 +36,11 @@ def value(self):
     def timestamp(self):
         """Returns the Timestamp when this Point was recorded."""
         return self._timestamp
+
+    def __repr__(self):
+        return ("{}(value={}, timestamp={})"
+                .format(
+                    type(self).__name__,
+                    self.value,
+                    self.timestamp
+                ))

opencensus/metrics/export/time_series.py

@@ -46,6 +46,15 @@ def __init__(self, label_values, points, start_timestamp):
         self._points = points
         self._start_timestamp = start_timestamp
 
+    def __repr__(self):
+        return ('{}(points={}, label_values={}, start_timestamp={})'
+                .format(
+                    type(self).__name__,
+                    self.points,
+                    self.label_values,
+                    self.start_timestamp
+                ))
+
     @property
     def start_timestamp(self):
         return self._start_timestamp

opencensus/metrics/export/value.py

@@ -79,6 +79,13 @@ class ValueDouble(Value):
     def __init__(self, value):
         super(ValueDouble, self).__init__(value)
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.value,
+                ))
+
 
 class ValueLong(Value):
     """A 64-bit integer.

opencensus/metrics/label_key.py

@@ -26,6 +26,20 @@ def __init__(self, key, description):
         self._key = key
         self._description = description
 
+    def __repr__(self):
+        if self.description:
+            return ('{}({}, description="{}")'
+                    .format(
+                        type(self).__name__,
+                        self.key,
+                        self.description
+                    ))
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.key,
+                ))
+
     @property
     def key(self):
         """the key for the label"""

opencensus/metrics/label_value.py

@@ -22,6 +22,13 @@ class LabelValue(object):
     def __init__(self, value=None):
         self._value = value
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.value,
+                ))
+
     @property
     def value(self):
         """the value for the label"""

opencensus/stats/aggregation_data.py

@@ -64,6 +64,13 @@ def __init__(self, sum_data):
         super(SumAggregationDataFloat, self).__init__(sum_data)
         self._sum_data = sum_data
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.sum_data,
+                ))
+
     def add_sample(self, value, timestamp=None, attachments=None):
         """Allows the user to add a sample to the Sum Aggregation Data
         The value of the sample is then added to the current sum data
@@ -100,6 +107,13 @@ def __init__(self, count_data):
         super(CountAggregationData, self).__init__(count_data)
         self._count_data = count_data
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.count_data,
+                ))
+
     def add_sample(self, value, timestamp=None, attachments=None):
         """Adds a sample to the current Count Aggregation Data and adds 1 to
         the count data"""
@@ -194,6 +208,13 @@ def __init__(self,
             assert len(counts_per_bucket) == len(bounds) + 1
         self._counts_per_bucket = counts_per_bucket
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.count_data,
+                ))
+
     @property
     def mean_data(self):
         """The current mean data"""
@@ -340,6 +361,13 @@ def __init__(self, value):
         super(LastValueAggregationData, self).__init__(value)
         self._value = value
 
+    def __repr__(self):
+        return ("{}({})"
+                .format(
+                    type(self).__name__,
+                    self.value,
+                ))
+
     def add_sample(self, value, timestamp=None, attachments=None):
         """Adds a sample to the current
         LastValue Aggregation Data and overwrite