monitoring functional

corehq/util/metrics/__init__.py

@@ -4,6 +4,12 @@
 from corehq.util.metrics.metrics import DummyMetrics, DelegatedMetrics, DEFAULT_BUCKETS
 from dimagi.utils.modules import to_function
 
+__all__ = [
+    'metrics_counter',
+    'metrics_gauge',
+    'metrics_histogram',
+]
+
 _metrics = None
 
 

corehq/util/metrics/datadog.py

@@ -17,7 +17,11 @@
 class DatadogMetrics(HqMetrics):
     def initialize(self):
         if not settings.DATADOG_API_KEY or not settings.DATADOG_APP_KEY:
-            raise Exception("Datadog not configured. Set DATADOG_API_KEY and DATADOG_APP_KEY in settings.")
+            raise Exception(
+                "Datadog not configured."
+                "Set DATADOG_API_KEY and DATADOG_APP_KEY in settings or update METRICS_PROVIDERS"
+                "to remove the Datadog provider."
+            )
 
         try:
             from datadog import initialize

corehq/util/metrics/metrics.py

@@ -65,11 +65,11 @@ def _counter(self, name, value, tags, documentation):
 
     @abstractmethod
     def _gauge(self, name, value, tags, documentation):
-        pass
+        raise NotImplementedError
 
     @abstractmethod
     def _histogram(self, name, value, bucket_tag, buckets, bucket_unit, tags, documentation):
-        pass
+        raise NotImplementedError
 
 
 class DummyMetrics:
@@ -92,7 +92,7 @@ def _record_metric(*args, **kwargs):
                 for delegate in self.delegates:
                     getattr(delegate, item)(*args, **kwargs)
             return _record_metric
-        raise AttributeError
+        raise AttributeError(item)
 
 
 def metrics_gauge_task(name, fn, run_every):