def build_desired_rates(ds_name, ds_desc, dv_name, dv_desc, obj):
if not obj:
last_bin_end = 0
bins = dv_desc.bin_count * [{}]
else:
pool_rates = obj['pool_rates'][dv_name]
desired_versions = obj['desired_versions'][dv_name]
def get_total_pool_rate(t):
n = int((pool_rates['last_bin_end'] - t) / dv_desc.bin_width)
if n < 0 or n >= dv_desc.bin_count:
return None
total = sum(x[0] for x in pool_rates['bins'][n].values())
count = math.mean(x[1] for x in pool_rates['bins'][n].values())
if count == 0:
return None
return total / count
last_bin_end = desired_versions['last_bin_end']
bins = [
dict((name,
(total *
get_total_pool_rate(last_bin_end -
(i + 1 / 2) * dv_desc.bin_width),
count)) for name, (
total,
count) in desired_versions['bins'][i].iteritems())
for i in xrange(dv_desc.bin_count)
]
return graph.DataView(dv_desc, ds_desc, last_bin_end, bins)
def build_pool_rates(ds_name, ds_desc, dv_name, dv_desc, obj):
if not obj:
last_bin_end = 0
bins = dv_desc.bin_count*[{}]
else:
pool_rate = obj['pool_rate'][dv_name]
pool_stale_rate = obj['pool_stale_rate'][dv_name]
last_bin_end = max(pool_rate['last_bin_end'], pool_stale_rate['last_bin_end'])
bins = dv_desc.bin_count*[{}]
def get_value(obj, t):
n = int((obj['last_bin_end'] - t)/dv_desc.bin_width)
if n < 0 or n >= dv_desc.bin_count:
return None, 0
total, count = obj['bins'][n].get('null', [0, 0])
if count == 0:
return None, 0
return total/count, count
def get_bin(t):
total, total_count = get_value(pool_rate, t)
bad, bad_count = get_value(pool_stale_rate, t)
if total is None or bad is None:
return {}
count = int((total_count+bad_count)/2+1/2)
return dict(good=[(total-bad)*count, count], bad=[bad*count, count], null=[0, count])
bins = [get_bin(last_bin_end - (i+1/2)*dv_desc.bin_width) for i in xrange(dv_desc.bin_count)]
return graph.DataView(dv_desc, ds_desc, last_bin_end, bins)