def get_multiple_cpu_load(items, time_interval):
"""
Gets the CPU load of netboxes, averaged over a time interval, and adds to
the load properties of the items.
:param items: A dictionary of {sysname: properties lazy_dict, ...}
:param time_interval: A dict(start=..., end=...) describing the desired
time interval in terms valid to Graphite web.
"""
target_map = {
escape_metric_name(sysname): netbox
for sysname, netbox in iteritems(items)
}
targets = []
for sysname, netbox in iteritems(items):
if not sysname:
continue
targets.extend([
'highestMax(%s,1)' % path
for path in (metric_path_for_cpu_load(sysname, '*', interval=5),
metric_path_for_cpu_utilization(sysname, '*'))
])
_logger.debug("getting %s graphite cpu targets in chunks", len(targets))
data = {}
for chunk in chunks(targets, METRIC_CHUNK_SIZE):
data.update(_get_metric_average(chunk, time_interval))
for key, value in iteritems(data):
for sysname, netbox in iteritems(target_map):
if sysname in key:
if not is_nan(value):
netbox['load'] = value
break
def filter_nan2none(value):
"""Convert the NaN value to None, leaving everything else unchanged.
This function is meant to be used as a Django template filter. It
is useful in combination with filters that handle None (or any
false value) specially, such as the 'default' filter, when one
wants special treatment for the NaN value. It is also useful
before the 'format' filter to avoid the NaN value being formatted.
"""
if is_nan(value):
return None
return value