lib/active_metrics/instrumentable.rb in active_metrics-0.1.0 vs lib/active_metrics/instrumentable.rb in active_metrics-0.1.1

@@ -1,67 +1,67 @@
-module ActiveMetrics
-  ##
-  # Custom metrics for Librato
-  module Instrumentable
-
-    # Count log lines are used to submit increments to Librato.
-    #
-    # You can submit increments as frequently as desired and every minute the
-    # current total will be flushed to Librato and reset to zero.
-    #
-    # @param event [String] The name of the event
-    # @param number [Integer] The number to increment the current count (defaults to 1)
-    def count(event, number = 1)
-      ActiveMetrics::Collector.record(event, { metric: 'count', value: number })
-    end
-
-    # Measure log lines are used to submit individual measurements that comprise
-    # a statistical distribution. The most common use case are timings i.e.
-    # latency measurements, but it can also be used to represent non-temporal
-    # distributions such as counts.
-    #
-    # You can submit as many measures as you’d like (typically they are
-    # submitted per-request) and every minute Librato will calculate/record a
-    # complete set of summary statistics over the measures submitted in that
-    # interval.
-    #
-    # The `measure` method also accepts a block of code which will automatically
-    # measure the amount of time spent running that block:
-    #
-    #     measure 'foo.bar.baz' do
-    #       Foo.bar #=> 'baz'
-    #     end
-    #
-    # For convenience, when `measure` is used with a block it will return the
-    # value returned by the block.
-    #
-    # @param event [String] The name of the event
-    # @param value [Integer, String] The value measured.
-    def measure(event, value = 0)
-      if block_given?
-        time = Time.now
-        # Store the value returned by the block for future reference
-        value = yield
-        delta = Time.now - time
-
-        ActiveMetrics::Collector.record(event, { metric: 'measure', value: delta })
-
-        value
-      else
-        ActiveMetrics::Collector.record(event, { metric: 'measure', value: value })
-      end
-    end
-
-    # Sample metrics are used to convey simple key/numerical value pairs when
-    # you are already calculating some kind of summary statistic in your app and
-    # merely need a simple transport mechanism to Librato.
-    #
-    # Typically you would submit sample metrics on some periodic tick and set
-    # said period on the metric in Librato.
-    #
-    # @param key [String] The name of the sample
-    # @param value [Object] The value of the sample
-    def sample(key, value)
-      ActiveMetrics::Collector.record(key, { metric: 'sample', value: value })
-    end
-  end
+module ActiveMetrics
+  ##
+  # Custom metrics for Librato
+  module Instrumentable
+
+    # Count log lines are used to submit increments to Librato.
+    #
+    # You can submit increments as frequently as desired and every minute the
+    # current total will be flushed to Librato and reset to zero.
+    #
+    # @param event [String] The name of the event
+    # @param number [Integer] The number to increment the current count (defaults to 1)
+    def count(event, number = 1)
+      ActiveMetrics::Collector.record(event, { metric: 'count', value: number })
+    end
+
+    # Measure log lines are used to submit individual measurements that comprise
+    # a statistical distribution. The most common use case are timings i.e.
+    # latency measurements, but it can also be used to represent non-temporal
+    # distributions such as counts.
+    #
+    # You can submit as many measures as you’d like (typically they are
+    # submitted per-request) and every minute Librato will calculate/record a
+    # complete set of summary statistics over the measures submitted in that
+    # interval.
+    #
+    # The `measure` method also accepts a block of code which will automatically
+    # measure the amount of time spent running that block:
+    #
+    #     measure 'foo.bar.baz' do
+    #       Foo.bar #=> 'baz'
+    #     end
+    #
+    # For convenience, when `measure` is used with a block it will return the
+    # value returned by the block.
+    #
+    # @param event [String] The name of the event
+    # @param value [Integer, String] The value measured.
+    def measure(event, value = 0)
+      if block_given?
+        time = Time.now
+        # Store the value returned by the block for future reference
+        value = yield
+        delta = Time.now - time
+
+        ActiveMetrics::Collector.record(event, { metric: 'measure', value: delta })
+
+        value
+      else
+        ActiveMetrics::Collector.record(event, { metric: 'measure', value: value })
+      end
+    end
+
+    # Sample metrics are used to convey simple key/numerical value pairs when
+    # you are already calculating some kind of summary statistic in your app and
+    # merely need a simple transport mechanism to Librato.
+    #
+    # Typically you would submit sample metrics on some periodic tick and set
+    # said period on the metric in Librato.
+    #
+    # @param key [String] The name of the sample
+    # @param value [Object] The value of the sample
+    def sample(key, value)
+      ActiveMetrics::Collector.record(key, { metric: 'sample', value: value })
+    end
+  end
 end
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