def update_averages(self):
#damage "in" latency: (the time it takes for damage requests to be processed only)
if len(self.damage_in_latency) > 0:
data = [(when, latency)
for when, _, _, latency in list(self.damage_in_latency)]
self.avg_damage_in_latency, self.recent_damage_in_latency = calculate_time_weighted_average(
data)
#damage "out" latency: (the time it takes for damage requests to be processed and sent out)
if len(self.damage_out_latency) > 0:
data = [(when, latency)
for when, _, _, latency in list(self.damage_out_latency)]
self.avg_damage_out_latency, self.recent_damage_out_latency = calculate_time_weighted_average(
data)
#client decode speed:
if len(self.client_decode_time) > 0:
#the elapsed time recorded is in microseconds, so multiply by 1000*1000 to get the real value:
self.avg_decode_speed, self.recent_decode_speed = calculate_timesize_weighted_average(
list(self.client_decode_time), sizeunit=1000 * 1000)
#network send speed:
if len(self.damage_send_speed) > 0:
self.avg_send_speed, self.recent_send_speed = calculate_timesize_weighted_average(
list(self.damage_send_speed))
all_l = [
0.1, self.avg_damage_in_latency, self.recent_damage_in_latency,
self.avg_damage_out_latency, self.recent_damage_out_latency
]
self.max_latency = max(all_l)
def update_averages(self):
#damage "in" latency: (the time it takes for damage requests to be processed only)
if len(self.damage_in_latency)>0:
data = [(when, latency) for when, _, _, latency in list(self.damage_in_latency)]
self.avg_damage_in_latency, self.recent_damage_in_latency = calculate_time_weighted_average(data)
#damage "out" latency: (the time it takes for damage requests to be processed and sent out)
if len(self.damage_out_latency)>0:
data = [(when, latency) for when, _, _, latency in list(self.damage_out_latency)]
self.avg_damage_out_latency, self.recent_damage_out_latency = calculate_time_weighted_average(data)
#client decode speed:
if len(self.client_decode_time)>0:
#the elapsed time recorded is in microseconds, so multiply by 1000*1000 to get the real value:
self.avg_decode_speed, self.recent_decode_speed = calculate_timesize_weighted_average(list(self.client_decode_time), sizeunit=1000*1000)
#network send speed:
if len(self.damage_send_speed)>0:
self.avg_send_speed, self.recent_send_speed = calculate_timesize_weighted_average(list(self.damage_send_speed))
all_l = [0.1,
self.avg_damage_in_latency, self.recent_damage_in_latency,
self.avg_damage_out_latency, self.recent_damage_out_latency]
self.max_latency = max(all_l)
def get_target_client_latency(self, min_client_latency, avg_client_latency, abs_min=0.010):
""" geometric mean of the minimum (+20%) and average latency
but not higher than twice more than the minimum,
and not lower than abs_min.
Then we add the average decoding latency.
"""
decoding_latency = 0.010
if len(self.client_decode_time)>0:
decoding_latency, _ = calculate_timesize_weighted_average(list(self.client_decode_time))
decoding_latency /= 1000.0
min_latency = max(abs_min, min_client_latency or abs_min)*1.2
avg_latency = max(min_latency, avg_client_latency or abs_min)
max_latency = 2.0*min_latency
return max(abs_min, min(max_latency, sqrt(min_latency*avg_latency))) + decoding_latency
def get_target_client_latency(self, min_client_latency, avg_client_latency, abs_min=0.010):
""" geometric mean of the minimum (+20%) and average latency
but not higher than twice more than the minimum,
and not lower than abs_min.
Then we add the average decoding latency.
"""
decoding_latency = 0.010
if len(self.client_decode_time)>0:
decoding_latency, _ = calculate_timesize_weighted_average(list(self.client_decode_time))
decoding_latency /= 1000.0
min_latency = max(abs_min, min_client_latency or abs_min)*1.2
avg_latency = max(min_latency, avg_client_latency or abs_min)
max_latency = 2.0*min_latency
return max(abs_min, min(max_latency, sqrt(min_latency*avg_latency))) + decoding_latency
def test_calculate_timesize_weighted_average():
#event_time, size, elapsed_time
now = time.time()
sample_size = 100000
data = []
t = now - sample_size
for _ in xrange(sample_size):
s = random.randint(1000, 10000)
v = random.random()
data.append((t, s, v))
t += 1
start = time.time()
v = calculate_timesize_weighted_average(data)
end = time.time()
print("test_calculate_timesize_weighted_average(%s records)=%s" % (len(data), v))
print("elapsed time: %.1fms" % (1000*(end-start)))
def test_calculate_timesize_weighted_average():
#event_time, size, elapsed_time
now = time.time()
sample_size = 100000
data = []
t = now - sample_size
for _ in xrange(sample_size):
s = random.randint(1000, 10000)
v = random.random()
data.append((t, s, v))
t += 1
start = time.time()
v = calculate_timesize_weighted_average(data)
end = time.time()
print("test_calculate_timesize_weighted_average(%s records)=%s" %
(len(data), v))
print("elapsed time: %.1fms" % (1000 * (end - start)))
