Upgrade gsutil to 3.4

third_party/gsutil/boto/boto/ec2/cloudwatch/metric.py

Index: third_party/gsutil/boto/boto/ec2/cloudwatch/metric.py
diff --git a/third_party/gsutil/20110627/boto/boto/ec2/cloudwatch/metric.py b/third_party/gsutil/boto/boto/ec2/cloudwatch/metric.py
similarity index 50%
rename from third_party/gsutil/20110627/boto/boto/ec2/cloudwatch/metric.py
rename to third_party/gsutil/boto/boto/ec2/cloudwatch/metric.py
index cd8c4bc92598701f122ab305da6b4a29377437ce..847024e10f0c2f3e2d0b2331b4278a37cfc95087 100644
--- a/third_party/gsutil/20110627/boto/boto/ec2/cloudwatch/metric.py
+++ b/third_party/gsutil/boto/boto/ec2/cloudwatch/metric.py
@@ -20,24 +20,19 @@
 # IN THE SOFTWARE.
 #
 
-class Dimensions(dict):
-
-    def startElement(self, name, attrs, connection):
-        pass
-
-    def endElement(self, name, value, connection):
-        if name == 'Name':
-            self._name = value
-        elif name == 'Value':
-            self[self._name] = value
-        elif name != 'Dimensions' and name != 'member':
-            self[name] = value
+from boto.ec2.cloudwatch.alarm import MetricAlarm
+from boto.ec2.cloudwatch.dimension import Dimension
 
 class Metric(object):
 
     Statistics = ['Minimum', 'Maximum', 'Sum', 'Average', 'SampleCount']
-    Units = ['Seconds', 'Percent', 'Bytes', 'Bits', 'Count',
-             'Bytes/Second', 'Bits/Second', 'Count/Second']
+    Units = ['Seconds', 'Microseconds', 'Milliseconds', 'Bytes', 'Kilobytes',
+             'Megabytes', 'Gigabytes', 'Terabytes', 'Bits', 'Kilobits',
+             'Megabits', 'Gigabits', 'Terabits', 'Percent', 'Count',
+             'Bytes/Second', 'Kilobytes/Second', 'Megabytes/Second',
+             'Gigabytes/Second', 'Terabytes/Second', 'Bits/Second',
+             'Kilobits/Second', 'Megabits/Second', 'Gigabits/Second',
+             'Terabits/Second', 'Count/Second', None]
 
     def __init__(self, connection=None):
         self.connection = connection
@@ -46,15 +41,11 @@ class Metric(object):
         self.dimensions = None
 
     def __repr__(self):
-        s = 'Metric:%s' % self.name
-        if self.dimensions:
-            for name,value in self.dimensions.items():
-                s += '(%s,%s)' % (name, value)
-        return s
+        return 'Metric:%s' % self.name
 
     def startElement(self, name, attrs, connection):
         if name == 'Dimensions':
-            self.dimensions = Dimensions()
+            self.dimensions = Dimension()
             return self.dimensions
 
     def endElement(self, name, value, connection):
@@ -65,12 +56,36 @@ class Metric(object):
         else:
             setattr(self, name, value)
 
-    def query(self, start_time, end_time, statistic, unit=None, period=60):
-        return self.connection.get_metric_statistics(period, start_time, end_time,
-                                                     self.name, self.namespace, [statistic],
-                                                     self.dimensions, unit)
+    def query(self, start_time, end_time, statistics, unit=None, period=60):
+        if not isinstance(statistics, list):
+            statistics = [statistics]
+        return self.connection.get_metric_statistics(period,
+                                                     start_time,
+                                                     end_time,
+                                                     self.name,
+                                                     self.namespace,
+                                                     statistics,
+                                                     self.dimensions,
+                                                     unit)
+
+    def create_alarm(self, name, comparison, threshold,
+                     period, evaluation_periods,
+                     statistic, enabled=True, description=None,
+                     dimensions=None, alarm_actions=None, ok_actions=None,
+                     insufficient_data_actions=None, unit=None):
+        if not dimensions:
+            dimensions = self.dimensions
+        alarm = MetricAlarm(self.connection, name, self.name,
+                            self.namespace, statistic, comparison,
+                            threshold, period, evaluation_periods,
+                            unit, description, dimensions,
+                            alarm_actions, insufficient_data_actions,
+                            ok_actions)
+        if self.connection.put_metric_alarm(alarm):
+            return alarm
 
-    def describe_alarms(self, period=None, statistic=None, dimensions=None, unit=None):
+    def describe_alarms(self, period=None, statistic=None,
+                        dimensions=None, unit=None):
         return self.connection.describe_alarms_for_metric(self.name,
                                                           self.namespace,
                                                           period,
@@ -78,3 +93,5 @@ class Metric(object):
                                                           dimensions,
                                                           unit)
 
+
+