def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'netflow_lhcopn'
}
if not 'data'in m:
print(threading.current_thread().name, 'no data in this message!')
q.task_done()
continue
source = m['data']['src_site']
destination = m['data']['dst_site']
data['MA'] = 'capc.cern'
data['srcInterface'] = source
data['dstInterface'] = destination
ts = m['data']['timestamp']
th = m['data']['throughput']
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + \
str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['utilization'] = int(th)
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 10:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'ps_perf'
}
metrics = ['perfSONAR services: ntp', 'perfSONAR esmond freshness', 'OSG datastore freshness',
'perfSONAR services: pscheduler']
if not any(pattern in m['metric'] for pattern in metrics):
q.task_done()
continue
if 'perf_metrics' in m.keys() and not m['perf_metrics']:
q.task_done()
continue
data['host'] = m['host']
prefix = m['metric'].replace("perfSONAR", "ps").replace(":", "").replace(" ", "_").lower()
for k in m['perf_metrics'].keys():
data[prefix+"_"+k] = m['perf_metrics'][k]
dati = datetime.utcfromtimestamp(float(m['timestamp']))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(m['timestamp']) * 1000)
#print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'doc'}
# print(m)
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['src_host'] = m['meta']['input_source']
data['dest_host'] = m['meta']['input_destination']
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so != None:
data['src_site'] = so[0]
data['src_VO'] = so[1]
if de != None:
data['dest_site'] = de[0]
data['dest_VO'] = de[1]
data['src_production'] = siteMapping.isProductionThroughput(source)
data['dest_production'] = siteMapping.isProductionThroughput(
destination)
if not 'datapoints' in m:
print(threading.current_thread().name,
'no datapoints in this message!')
q.task_done()
continue
su = m['datapoints']
for ts, th in su.items():
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = INDEX_PREFIX + str(dati.year) + "." + str(
dati.month) # + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['throughput'] = th
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'packet_loss_rate'}
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['src_host'] = m['meta']['input_source']
data['dest_host'] = m['meta']['input_destination']
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so is not None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de is not None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionLatency(source)
data['destProduction'] = siteMapping.isProductionLatency(destination)
if 'datapoints' not in m:
q.task_done()
print(threading.current_thread().name,
"no datapoints found in the message")
continue
su = m['datapoints']
# print(su)
for ts, th in su.iteritems():
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(
dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['packet_loss'] = th
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 500:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'retransmits'
}
# print(m)
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so != None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de != None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionThroughput(source)
data['destProduction'] = siteMapping.isProductionThroughput(
destination)
if not 'datapoints'in m:
print(threading.current_thread().name,
'no datapoints in this message!')
q.task_done()
continue
su = m['datapoints']
for ts, th in su.iteritems():
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + \
str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['retransmits'] = th
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'doc'}
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so is not None:
data['src_site'] = so[0]
data['src_VO'] = so[1]
if de is not None:
data['dest_site'] = de[0]
data['dest_VO'] = de[1]
data['src_production'] = siteMapping.isProductionLatency(source)
data['dest_production'] = siteMapping.isProductionLatency(destination)
if 'summaries' not in m:
q.task_done()
print(threading.current_thread().name,
"no summaries found in the message")
continue
su = m['summaries']
for s in su:
if s['summary_window'] == '60' and s[
'summary_type'] == 'statistics':
results = s['summary_data']
# print(results)
for r in results:
dati = datetime.utcfromtimestamp(float(r[0]))
data['_index'] = INDEX_PREFIX + str(dati.year) + "." + str(
dati.month) + "." + str(dati.day)
data['timestamp'] = r[0] * 1000
data['sim_util'] = r[1]['ml']
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 500:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'link_utilization'
}
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so is not None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de is not None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionLatency(source)
data['destProduction'] = siteMapping.isProductionLatency(destination)
if 'summaries' not in m:
q.task_done()
print(threading.current_thread().name, "no summaries found in the message")
continue
su = m['summaries']
for s in su:
if s['summary_window'] == '60' and s['summary_type'] == 'statistics':
results = s['summary_data']
# print(results)
for r in results:
dati = datetime.utcfromtimestamp(float(r[0]))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = r[0] * 1000
data['sim_util'] = r[1]['ml']
#print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 500:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'ps_perf'}
metrics = [
'perfSONAR services: ntp', 'perfSONAR esmond freshness',
'OSG datastore freshness', 'perfSONAR services: pscheduler'
]
if not any(pattern in m['metric'] for pattern in metrics):
q.task_done()
continue
if 'perf_metrics' in m.keys() and not m['perf_metrics']:
q.task_done()
continue
data['host'] = m['host']
prefix = m['metric'].replace("perfSONAR",
"ps").replace(":",
"").replace(" ",
"_").lower()
for k in m['perf_metrics'].keys():
data[prefix + "_" + k] = m['perf_metrics'][k]
dati = datetime.utcfromtimestamp(float(m['timestamp']))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(
dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(m['timestamp']) * 1000)
#print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'latency'}
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['src_host'] = m['meta']['input_source']
data['dest_host'] = m['meta']['input_destination']
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so is not None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de is not None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionLatency(source)
data['destProduction'] = siteMapping.isProductionLatency(destination)
su = m['datapoints']
for ts, th in su.iteritems():
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(
dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
th_fl = dict((float(k), v) for (k, v) in th.items())
# mean
samples = sum([v for k, v in th_fl.items()])
th_mean = sum(k * v for k, v in th_fl.items()) / samples
data['delay_mean'] = th_mean
# std dev
data['delay_sd'] = math.sqrt(
sum((k - th_mean)**2 * v for k, v in th_fl.items()) / samples)
# median
csum = 0
ordered_th = [(k, v) for k, v in sorted(th_fl.items())]
midpoint = samples // 2
if samples % 2 == 0: # even number of samples
for index, entry in enumerate(ordered_th):
csum += entry[1]
if csum > midpoint + 1:
data['delay_median'] = entry[0]
break
elif csum == midpoint:
data['delay_median'] = entry[0] + ordered_th[index +
1][0] / 2
break
elif csum == midpoint + 1 and index == 0:
data['delay_median'] = entry[0]
break
elif csum == midpoint + 1 and index > 0:
data['delay_median'] = entry[0] + ordered_th[index -
1][0] / 2
break
else: # odd number of samples
for index, entry in enumerate(ordered_th):
csum += entry[1]
if csum >= midpoint + 1:
data['delay_median'] = entry[0]
break
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 500:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'doc'}
dati = datetime.utcfromtimestamp(float(m['timestamp']))
data['_index'] = INDEX_PREFIX + str(dati.year) + "." + str(
dati.month) # + "." + str(dati.day)
data.update(m)
data.pop('interfaces', None)
data['timestamp'] = int(float(m['timestamp']) * 1000)
data['host'] = data.get('external_address', {}).get('dns_name')
if "services" in data:
sers = copy.deepcopy(data["services"])
data["services"] = {}
for s in sers:
if "name" in s:
service_name = s["name"]
del s["name"]
tps = {}
if "testing_ports" in s:
for tp in s["testing_ports"]:
if 'type' not in tp:
continue
tps[tp['type']] = {
"min_port": tp["min_port"],
"max_port": tp["max_port"]
}
s['testing_ports'] = tps
data["services"][service_name] = s
else:
continue
clean(data)
if 'location' in data.keys():
lat = data['location'].get('latitude', 0)
lgt = data['location'].get('longitude', 0)
if lat and lgt:
data['geolocation'] = "%s,%s" % (lat, lgt)
del data['location']
if 'ntp' in data.keys():
n = data['ntp']
convert_to_float(n, ['delay', 'dispersion', 'offset'])
convert_to_int(
n, ['synchronized', 'stratum', 'reach', 'polling_interval'])
if 'external_address' in data.keys():
ea = data['external_address']
if 'counters' in ea.keys():
convert_to_int(ea['counters'], ea['counters'].keys())
convert_to_int(data, ['cpu_cores', 'cpus'])
convert_to_float(data, ['cpu_speed'])
# print('-----------')
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 10:
succ = tools.bulk_index(
aLotOfData,
es_conn=es_conn,
thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
else:
print(aLotOfData)
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'traceroute'
}
# print(m)
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['src_host'] = m['meta']['input_source']
data['dest_host'] = m['meta']['input_destination']
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so != None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de != None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionThroughput(source)
data['destProduction'] = siteMapping.isProductionThroughput(
destination)
if not 'datapoints' in m:
q.task_done()
print(threading.current_thread().name,
"no datapoints found in the message")
continue
dp = m['datapoints']
# print(su)
for ts in dp:
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + \
str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['hops'] = []
data['rtts'] = []
data['ttls'] = []
hops = dp[ts]
for hop in hops:
if 'ttl' not in hop or 'ip' not in hop or 'query' not in hop:
continue
nq = int(hop['query'])
if nq != 1:
continue
data['hops'].append(hop['ip'])
data['ttls'].append(int(hop['ttl']))
if 'rtt' in hop and hop['rtt'] != None:
data['rtts'].append(float(hop['rtt']))
else:
data['rtts'].append(0.0)
# print(data)
hs = ''
for h in data['hops']:
if h == None:
hs += "None"
else:
hs += h
data['n_hops'] = len(data['hops'])
if len(data['rtts']):
data['max_rtt'] = max(data['rtts'])
data['hash'] = hash(hs)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
m = q.get()
# print(m)
dati = datetime.utcfromtimestamp(float(m['tr_timestamp_start']) / 1000)
data = {
'_type': 'docs',
'_id': m['tr_id'],
'_index': 'fts-' + str(dati.year) + "-" + str(dati.month).zfill(2) + "-" + str(dati.day).zfill(2),
'endpnt': m['endpnt'],
'vo': m['vo'],
"src_hostname": m['src_hostname'],
"dst_hostname": m['dst_hostname'],
"f_size": m['f_size'],
"retry": m['retry'],
"processing_start": m['timestamp_tr_st'],
"processing_stop": m['timestamp_tr_comp'],
"transfer_start": m['tr_timestamp_start'],
"transfer_stop": m['tr_timestamp_complete'],
"final_transfer_state": m['t_final_transfer_state']
}
if m['timestamp_chk_src_st'] > 0:
data['timestamp_chk_src_st'] = m['timestamp_chk_src_st']
data['timestamp_chk_src_ended'] = m['timestamp_chk_src_ended']
if m['timestamp_checksum_dest_st'] > 0:
data['timestamp_chk_dst_st'] = m['timestamp_checksum_dest_st']
data['timestamp_chk_dst_ended'] = m['timestamp_checksum_dest_ended']
if m['t_error_code']:
data['error_code'] = m['t_error_code']
if m['t_failure_phase'] and m['t_failure_phase'] != '':
data['failure_phase'] = m['t_failure_phase']
if m['tr_error_category'] and m['tr_error_category'] != '':
data['error_category'] = m['tr_error_category']
if m['t__error_message'] and m['t__error_message'] != '':
data['error_message'] = m['t__error_message']
if 'file_metadata' in m and m['file_metadata'] != None and not isinstance(m['file_metadata'], int):
md = m['file_metadata']
data['metadata'] = {}
if 'name' in md and md['name'] != None:
data['metadata']['name'] = md['name']
if 'scope' in md and md['scope'] != None:
data['metadata']['scope'] = md['scope']
if 'src_type' in md and md['src_type'] != None:
data['metadata']['src_type'] = md['src_type']
if 'dst_type' in md and md['dst_type'] != None:
data['metadata']['dst_type'] = md['dst_type']
if 'src_rse' in md and md['src_rse'] != None:
data['metadata']['src_rse'] = md['src_rse']
so = siteMapping.get_site_from_ddm(md['src_rse'])
if so is not None:
data['metadata']['src_site'] = so
if 'dst_rse' in md and md['dst_rse'] != None:
data['metadata']['dst_rse'] = md['dst_rse']
de = siteMapping.get_site_from_ddm(md['dst_rse'])
if de is not None:
data['metadata']['dst_site'] = de
if 'request_id' in md:
data['metadata']['request_id'] = md['request_id']
if 'activity' in md:
data['metadata']['activity'] = md['activity']
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 500:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {'_type': 'meta'}
dati = datetime.utcfromtimestamp(float(m['timestamp']))
data['_index'] = "network_weather-" + str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data.update(m)
data.pop('interfaces', None)
data['timestamp'] = int(float(m['timestamp']) * 1000)
data['host'] = data.get('external_address', {}).get('dns_name')
if "services" in data:
sers = copy.deepcopy(data["services"])
data["services"] = {}
for s in sers:
if "name" in s:
service_name = s["name"]
del s["name"]
tps = {}
if "testing_ports" in s:
for tp in s["testing_ports"]:
if 'type' not in tp: continue
tps[tp['type']] = {"min_port": tp["min_port"], "max_port": tp["max_port"]}
s['testing_ports'] = tps
data["services"][service_name] = s
else:
continue
clean(data)
if 'location' in data.keys():
lat = data['location'].get('latitude', 0)
lgt = data['location'].get('longitude', 0)
if lat and lgt:
data['geolocation'] = "%s,%s" % (lat, lgt)
del data['location']
if 'ntp' in data.keys():
n = data['ntp']
convert_to_float(n, ['delay', 'dispersion', 'offset'])
convert_to_int(n, ['synchronized', 'stratum', 'reach', 'polling_interval'])
if 'external_address' in data.keys():
ea = data['external_address']
if 'counters' in ea.keys():
convert_to_int(ea['counters'], ea['counters'].keys())
convert_to_int(data, ['cpu_cores', 'cpus'])
convert_to_float(data, ['cpu_speed'])
# print('-----------')
# print(data)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 10:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
else:
print(aLotOfData)
def eventCreator():
aLotOfData = []
es_conn = tools.get_es_connection()
while True:
d = q.get()
m = json.loads(d)
data = {
'_type': 'traceroute'
}
# print(m)
source = m['meta']['source']
destination = m['meta']['destination']
data['MA'] = m['meta']['measurement_agent']
data['src'] = source
data['dest'] = destination
data['ipv6'] = False
if ':' in source or ':' in destination:
data['ipv6'] = True
so = siteMapping.getPS(source)
de = siteMapping.getPS(destination)
if so != None:
data['srcSite'] = so[0]
data['srcVO'] = so[1]
if de != None:
data['destSite'] = de[0]
data['destVO'] = de[1]
data['srcProduction'] = siteMapping.isProductionThroughput(source)
data['destProduction'] = siteMapping.isProductionThroughput(
destination)
if not 'datapoints' in m:
q.task_done()
print(threading.current_thread().name,
"no datapoints found in the message")
continue
dp = m['datapoints']
# print(su)
for ts in dp:
dati = datetime.utcfromtimestamp(float(ts))
data['_index'] = "network_weather-" + \
str(dati.year) + "." + str(dati.month) + "." + str(dati.day)
data['timestamp'] = int(float(ts) * 1000)
data['hops'] = []
data['rtts'] = []
data['ttls'] = []
hops = dp[ts]
for hop in hops:
if 'ttl' not in hop or 'ip' not in hop or 'query' not in hop:
continue
nq = int(hop['query'])
if nq != 1:
continue
data['hops'].append(hop['ip'])
data['ttls'].append(int(hop['ttl']))
if 'rtt' in hop and hop['rtt'] != None:
data['rtts'].append(float(hop['rtt']))
else:
data['rtts'].append(0.0)
# print(data)
hs = ''
for h in data['hops']:
if h == None:
hs += "None"
else:
hs += h
data['n_hops'] = len(data['hops'])
data['max_rtt'] = max(data['rtts'])
data['hash'] = hash(hs)
aLotOfData.append(copy.copy(data))
q.task_done()
if len(aLotOfData) > 100:
succ = tools.bulk_index(aLotOfData, es_conn=es_conn, thread_name=threading.current_thread().name)
if succ is True:
aLotOfData = []
