def stop_exp(msm_id_list):
for measurement_id in msm_id_list:
atlas_request = AtlasStopRequest(msm_id = measurement_id, key = "fbae8ef7-d73e-413a-af8e-9d709dcc1148")
(is_success, response) = atlas_request.create()
print is_success
print response
def stop_exp(msm_id_list, stop_file):
with open(stop_file, 'w') as f_stop:
for measurement_id in msm_id_list:
atlas_request = AtlasStopRequest(msm_id = measurement_id, key = "fbae8ef7-d73e-413a-af8e-9d709dcc1148")
(is_success, response) = atlas_request.create()
if is_success:
f_stop.write(str(measurement_id) + '\n')
print is_success
print response
def main(date, version, probes, asns, repetition, concurrent, description,
protocol, packets, first_hop, max_hops, paris, bill_to, api_key):
# define the date and db
# create empty DataFrame for API-Responses
measurements = pd.DataFrame()
# create 100 measurements (limit for concurrent measurements)
# until every target was selected
for x in range(0, int(repetition*len(asns)/concurrent)+1):
for y in range(0, concurrent):
# check if end of list is reached
if (y+x*concurrent)/repetition < len(asns):
# create measurement
execute_POST_req.main(
str(asns['ipv' + str(version)][int(
(y+x*concurrent)/repetition)]),
len(probes), ",".join(map(str, probes['id'])), version,
description, protocol, packets, first_hop, max_hops,
paris, bill_to, api_key)
# read the API-Response into the DataFrame
apiResponse = pd.read_json('ripeApiResponse.txt')
if 'measurements' in apiResponse:
measurements = measurements.append(apiResponse,
ignore_index=True,
sort=True)
else:
break
# wait until measurements are done and stop them to safe RIPE-credits
# and write them into the db
time.sleep(1800)
for x in range(0, len(measurements)):
# stop measurement
atlas_request = AtlasStopRequest(msm_id=measurements[
'measurements'][x], key=api_key, proxies=dict(
https='socks5://localhost:8080'))
(is_success, response) = atlas_request.create()
# pass measurement ids to the script to save them to the db
Thread(target=measurement_to_db.main,
args=(date, measurements)).start()
# empty DataFrame to prevent redundancy
measurements = pd.DataFrame()
def stop_measurements(monitoring_goal, query_type):
"""Stops running RIPE Atlas measurements."""
msm_ids, msm_attributes = database.get_measurements(
monitoring_goal, query_type, True)
success_counter = 0
for msm_id in msm_ids:
atlas_request = AtlasStopRequest(msm_id=msm_id,
key=config['RIPE']['api_key'])
is_success, response = atlas_request.create()
# print(is_success, response)
if is_success:
database.stop_measurement(msm_id)
success_counter += 1
if success_counter == len(msm_ids):
return True
else:
return False
import glob
import json
from ripe.atlas.cousteau import AtlasStopRequest
#code mesurements 1
ATLAS_STOP_API_KEY = ""
failed_measurements = list()
for filepath in glob.iglob('measurements/*.json'):
with open(filepath) as f:
data = json.load(f)
for k, v in data.items():
for elt in v:
try:
for measurement in elt['measurement_id']:
atlas_request = AtlasStopRequest(msm_id=measurement,
key=ATLAS_STOP_API_KEY)
(is_success, response) = atlas_request.create()
if not is_success:
failed_measurements.append(measurement)
except KeyError:
pass
with open('measurements-failed-to-stop.txt', 'w') as file:
for elt in failed_measurements:
file.write("%i\n" % elt)
def atlas_api_stop_call(msm_id_var):
#ATLAS_STOP_API_KEY = ""
atlas_request = AtlasStopRequest(msm_id=msm_id_var, key=ATLAS_STOP_API_KEY)
(is_success, response) = atlas_request.create()
