def ramp_down(clients, hatch_stride):
while True:
if self.state != STATE_HATCHING:
if self.num_clients < max_locusts:
gevent.sleep(calibration_time)
fail_ratio = RequestStats.sum_stats().fail_ratio
if fail_ratio <= acceptable_fail:
p = current_percentile(percent)
if p <= response_time_limit:
if hatch_stride <= precision:
print "sweet spot found, ramping stopped!"
return
print "ramping up..."
hatch_stride = max((hatch_stride/2),precision)
clients += hatch_stride
self.start_hatching(clients, self.hatch_rate)
return ramp_up(clients, hatch_stride, True)
print "ramping down..."
hatch_stride = max((hatch_stride/2),precision)
clients -= hatch_stride
if clients > 0:
self.start_hatching(clients, self.hatch_rate)
else:
print "WARNING: no responses met the ramping thresholds, check your ramp configuration, locustfile and \"--host\" address"
print "ramping stopped!"
return
gevent.sleep(1)
def ramp_down(clients, hatch_stride):
while True:
if self.state != STATE_HATCHING:
if self.num_clients < max_locusts:
gevent.sleep(calibration_time)
fail_ratio = RequestStats.sum_stats().fail_ratio
if fail_ratio <= acceptable_fail:
p = current_percentile(percent)
if p <= response_time_limit:
if hatch_stride <= precision:
print "sweet spot found, ramping stopped!"
return
print "ramping up..."
hatch_stride = max((hatch_stride/2),precision)
clients += hatch_stride
self.start_hatching(clients, self.hatch_rate)
return ramp_up(clients, hatch_stride, True)
print "ramping down..."
hatch_stride = max((hatch_stride/2),precision)
clients -= hatch_stride
if clients > 0:
self.start_hatching(clients, self.hatch_rate)
else:
print "WARNING: no responses met the ramping thresholds, check your ramp configuration, locustfile and \"--host\" address"
print "ramping stopped!"
return
gevent.sleep(1)
def ramp_up(clients, hatch_stride, boundery_found=False):
while True:
if self.state != STATE_HATCHING:
if self.num_clients >= max_locusts:
print "ramp up stopped due to max locusts limit reached:", max_locusts
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
gevent.sleep(calibration_time)
fail_ratio = RequestStats.sum_stats().fail_ratio
if fail_ratio > acceptable_fail:
print "ramp up stopped due to acceptable fail ratio %d%% exceeded with fail ratio %d%%" % (acceptable_fail*100, fail_ratio*100)
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
p = current_percentile(percent)
if p >= response_time_limit:
print "ramp up stopped due to percentile response times getting high:", p
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
if boundery_found and hatch_stride <= precision:
print "sweet spot found, ramping stopped!"
return
print "ramping up..."
if boundery_found:
hatch_stride = max((hatch_stride/2),precision)
clients += hatch_stride
self.start_hatching(clients, self.hatch_rate)
gevent.sleep(1)
def ramp_up(clients, hatch_stride, boundery_found=False):
while True:
if self.state != STATE_HATCHING:
if self.num_clients >= max_locusts:
print "ramp up stopped due to max locusts limit reached:", max_locusts
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
gevent.sleep(calibration_time)
fail_ratio = RequestStats.sum_stats().fail_ratio
if fail_ratio > acceptable_fail:
print "ramp up stopped due to acceptable fail ratio %d%% exceeded with fail ratio %d%%" % (acceptable_fail*100, fail_ratio*100)
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
p = current_percentile(percent)
if p >= response_time_limit:
print "ramp up stopped due to percentile response times getting high:", p
client, hatch_stride = ramp_down_help(clients, hatch_stride)
return ramp_down(clients, hatch_stride)
if boundery_found and hatch_stride <= precision:
print "sweet spot found, ramping stopped!"
return
print "ramping up..."
if boundery_found:
hatch_stride = max((hatch_stride/2),precision)
clients += hatch_stride
self.start_hatching(clients, self.hatch_rate)
gevent.sleep(1)
