def feedback(request):
global nb_feedback
if not request.path_qs.startswith("/feedback.py"):
raise HTTPBadRequest('Malformed input')
parameters = request.params
# override real IP for testing
ip = parameters.get('ip', request.client_addr)
# If the client have a private ip, it is on the same network as
# the server. So we use the server ip as there isn't have geoip
# info for private ip.
int_ip = resources.get_int_from_ip(ip)
if ((167772160 <= int_ip <= 184549375) or
(2886729728 <= int_ip <= 2887778303) or
(3232235520 <= int_ip <= 3232301055)): # is_private
ip = server_ip
# Get parameters
measurements = parameters.get('measurements', '')
html = not bool(parameters.get('text_only', ''))
full_page = bool(parameters.get('full_page', ''))
# Limit the number of ip used in the analysis to limit the time.
if len(measurements) == '':
raise HTTPBadRequest('Malformed input. No measurements received.')
ms = [m for m in measurements.split('-') if m]
if time_table_idx == 0:
nb = 20
elif time_table_idx == 1:
nb = 15
else:
nb = 10
measurements = '-'.join(ms[-nb:])
response = display_stats(ip, measurements, html, full_page)
if full_page:
response = response.encode('utf-8')
content_type = 'text/html' if html else 'text/plain'
else:
response = json.dumps({'content': response}) # already utf-8 encoded
# wrap the reponse in jsonp
response = parameters.get('jsoncallback',
'jsoncallback') + '(' + response + ')'
content_type = 'application/json'
res = Response(response,
content_type=content_type,
charset='utf-8')
nb_feedback += 1
return res
def feedback(request):
global nb_feedback
if not request.path_qs.startswith("/feedback.py"):
raise HTTPBadRequest('Malformed input')
parameters = request.params
# override real IP for testing
ip = parameters.get('ip', request.client_addr)
# If the client have a private ip, it is on the same network as
# the server. So we use the server ip as there isn't have geoip
# info for private ip.
int_ip = resources.get_int_from_ip(ip)
if ((167772160 <= int_ip <= 184549375)
or (2886729728 <= int_ip <= 2887778303)
or (3232235520 <= int_ip <= 3232301055)): # is_private
ip = server_ip
# Get parameters
measurements = parameters.get('measurements', '')
html = not bool(parameters.get('text_only', ''))
full_page = bool(parameters.get('full_page', ''))
# Limit the number of ip used in the analysis to limit the time.
if len(measurements) == '':
raise HTTPBadRequest('Malformed input. No measurements received.')
ms = [m for m in measurements.split('-') if m]
if time_table_idx == 0:
nb = 20
elif time_table_idx == 1:
nb = 15
else:
nb = 10
measurements = '-'.join(ms[-nb:])
response = display_stats(ip, measurements, html, full_page)
if full_page:
response = response.encode('utf-8')
content_type = 'text/html' if html else 'text/plain'
else:
response = json.dumps({'content': response}) # already utf-8 encoded
# wrap the reponse in jsonp
response = parameters.get('jsoncallback',
'jsoncallback') + '(' + response + ')'
content_type = 'application/json'
res = Response(response, content_type=content_type, charset='utf-8')
nb_feedback += 1
return res
os.path.join(os.path.dirname(__file__),
'../../../models/work_in_progress/src')
]
from graph import display_stats, load_model
import numpy
# Load the model used by display_stats
load_model()
ip = "132.204.25.12"
measurements = ip
one = lambda: '.'.join(map(str, numpy.random.randint(
256, size=4))) + ',' + str(
max(51.0, numpy.random.normal(loc=400.0, scale=200.0)))
measurements = '-'.join([one() for i in xrange(100)])
for i in range(10000):
response = display_stats(ip, measurements, False, False)
elif False: # speed test get_pings
nb_iter = 100000
# Speed test get_pings
t0 = time.time()
for i in range(nb_iter):
# get_pings("132.204.25." + str(i%255))
get_pings("132.204.25.12")
t1 = time.time()
print "Time per request (ms):", (t1 - t0) / float(nb_iter) * 1000
else: # speed test get_geoip_data
nb_iter = 3000
# Speed test
init_geoip()
pings = get_pings("132.204.25.12")
t0 = time.time()
if __name__ == "__main__":
if True: # speed test display_stats for feedback
import sys
sys.path[0:0] = [os.path.join(os.path.dirname(__file__),
'../../../models/work_in_progress/src')]
from graph import display_stats, load_model
import numpy
# Load the model used by display_stats
load_model()
ip = "132.204.25.12"
measurements = ip
one = lambda : '.'.join(map(str, numpy.random.randint(256, size=4))) + ',' + str(max(51.0, numpy.random.normal(loc=400.0, scale=200.0)))
measurements = '-'.join([one() for i in xrange(100)])
for i in range(10000):
response = display_stats(ip, measurements, False, False)
elif False: # speed test get_pings
nb_iter = 100000
# Speed test get_pings
t0 = time.time()
for i in range(nb_iter):
# get_pings("132.204.25." + str(i%255))
get_pings("132.204.25.12")
t1 = time.time()
print "Time per request (ms):", (t1 - t0) / float(nb_iter) * 1000
else: # speed test get_geoip_data
nb_iter = 3000
# Speed test
init_geoip()
pings = get_pings("132.204.25.12")
t0 = time.time()
