def execute(self, tracker, tmaster, start, end):
# Fetch metrics for start-60 to end+60 because the minute mark
# may be a little skewed. By getting a couple more values,
# we can then truncate based on the interval needed.
metrics = yield getMetricsTimeline(tmaster, self.component,
[self.metricName], self.instances,
start - 60, end + 60)
if not metrics:
return
if "message" in metrics:
raise Exception(metrics["message"])
# Put a blank timeline.
if "timeline" not in metrics or not metrics["timeline"]:
metrics["timeline"] = {self.metricName: {}}
timelines = metrics["timeline"][self.metricName]
allMetrics = []
for instance, timeline in timelines.items():
toBeDeletedKeys = []
for key, value in timeline.items():
floatValue = float(value)
# Check if the value is really float or not.
# In python, float("nan") returns "nan" which is actually a float value,
# but it is not what we required.
if math.isnan(floatValue):
toBeDeletedKeys.append(key)
continue
timeline[key] = floatValue
# Remove all keys for which the value was not float
for key in toBeDeletedKeys:
timeline.pop(key)
allMetrics.append(
Metrics(self.component, self.metricName, instance, start, end,
timeline))
raise tornado.gen.Return(allMetrics)
def execute(self, tracker, tmaster, start, end):
# Fetch metrics for start-60 to end+60 because the minute mark
# may be a little skewed. By getting a couple more values,
# we can then truncate based on the interval needed.
metrics = yield getMetricsTimeline(
tmaster, self.component, [self.metricName], self.instances,
start - 60, end + 60)
if not metrics:
return
if "message" in metrics:
raise Exception(metrics["message"])
# Put a blank timeline.
if "timeline" not in metrics or not metrics["timeline"]:
metrics["timeline"] = {
self.metricName: {}
}
timelines = metrics["timeline"][self.metricName]
allMetrics = []
for instance, timeline in timelines.iteritems():
toBeDeletedKeys = []
for key, value in timeline.iteritems():
floatValue = float(value)
# Check if the value is really float or not.
# In python, float("nan") returns "nan" which is actually a float value,
# but it is not what we required.
if math.isnan(floatValue):
toBeDeletedKeys.append(key)
continue
timeline[key] = floatValue
# Remove all keys for which the value was not float
for key in toBeDeletedKeys:
timeline.pop(key)
allMetrics.append(Metrics(self.component, self.metricName, instance, start, end, timeline))
raise tornado.gen.Return(allMetrics)