def get_mem_utilization_snapshot(instance, back=60):
mem_files = utils.get_whisper_files_by_metric(
"mem",
utils.get_whisper_files_by_instance_id(instance.id))
if not mem_files:
return "N/A"
fetched = whisper.fetch(mem_files[0], time.time() - back)
times, data = fetched
for val in reversed(data):
if val is not None:
return val * 100
return "N/A"
def get_cpu_utilization_snapshot(instance, back=60):
cpu_files = utils.get_whisper_files_by_metric(
"cpu",
utils.get_whisper_files_by_instance_id(instance.id))
if not cpu_files:
return "N/A"
# TODO: what if we have more than one CPU database??
fetched = whisper.fetch(cpu_files[0], time.time() - back)
times, data = fetched
# return the most recent data point that's not None
for val in reversed(data):
if val is not None:
return val * 100
return "N/A"
def get_vcpu_load_avgs(instance):
cpu_files = utils.get_whisper_files_by_metric(
"cpu",
utils.get_whisper_files_by_instance_id(instance.id))
if not cpu_files:
return "N/A"
# TODO: what if we have more than one CPU database??
f = cpu_files[0]
avgs = []
for duration in [1, 5, 15]:
fetched = whisper.fetch(f, time.time() - 60*duration)
times, data = fetched
load_avg = utils.average(data)
avgs.append(load_avg)
return "%f | %f | %f" % tuple(avgs)
