def generate_events(spark_context, eventList):
global sc
sc = spark_context
quake_data = list()
client = Client("IRIS")
processedEvent = set()
if os.path.exists("processedEvent.p"):
pickleFile = open('processedEvent.p', 'rb')
processedEvent = pickle.load(pickleFile)
pickleFile.close()
for each_event in eventList:
if each_event in processedEvent:
continue
cat = client.get_events(eventid=int(each_event))
eventDict = dict()
for each_entry in cat:
event_info = re.compile("Event:\t(.*)\n").match(
str(each_entry)).groups()[0]
event_info_list = event_info.split('|')
eventDict['date-time'] = event_info_list[0].rstrip().lstrip()
eventDict['EventID'] = each_event
origin_info = event_info_list[1].split(',')
eventDict['Latitude'] = origin_info[0].rstrip().lstrip()
eventDict['Longitude'] = origin_info[1].rstrip().lstrip()
eventDict['Magnitude'] = event_info_list[2].split()[0].rstrip(
).lstrip()
quake_data.append(eventDict)
return processEvents(quake_data, client, processedEvent)
def processList(data):
#print data[0]
print "SLEEP", data[6], data[7]
time.sleep(float(data[7] / 1000))
dt = UTCDateTime(data[5])
timeSeriesClient = iris.Client()
client = Client("IRIS")
netStation = data[0].split('.')
network = netStation[0]
station = netStation[1]
magList = []
try:
respData = timeSeriesClient.resp(network, station, '*', '*', dt)
#print "SEEDLIST SUCCESS ", respData[0]
seedList = parseResponse(respData.decode())
for each2 in seedList:
arr = each2.split('.')
try:
st = client.get_waveforms(arr[0], arr[1], arr[2], arr[3], dt,
dt + 1800)
print "TIMESERIES SUCCESS", each2
ampl = get_amplitude(st, dt, each2)
local_mag = calculate_local_magnitude(data[3], data[4],
data[1], data[2], ampl)
#print local_mag
magList.append(local_mag)
#print "Appended to magnitude list"
except:
#print "TIMESERIES FAIL", each2
continue
print magList
if len(magList) > 0:
#print "Magnitude list obtained"
retVal = str(data[6])+ "," + data[0]+ ","+ data[1] +"," +\
data[2] +","+ str(sum(magList)/float(len(magList)))
#print "Returning value:", retVal
return retVal
else:
return 'FAIL'
except:
print 'SEEDLIST FAIL ', data[0]
return 'FAIL'
print "No hay parametros de entrada"
sys.exit()
year, MM, dd, hh, mm, ss = int(sys.argv[1][0:4]), int(sys.argv[1][4:6]), int(sys.argv[1][6:8]), int(sys.argv[1][8:10]), int(sys.argv[1][10:12]), int(sys.argv[1][12:14])
t = UTCDateTime(year, MM, dd, hh, mm)
t_ = float(sys.argv[2])
if len(sys.argv)>2:
name = str(t)+archive_name(sys.argv[3:])+"."+Format
else:
name = str(t)+"."+Format
#print t, t_
client_sc = Client(ip_fdsn+":"+port_fdsn)
print client_sc
if len(sys.argv) == 2:
st = request(client = client_sc, t1 = t, t2= t + t_)
print st
if len(sys.argv) == 4:
st = request(client = client_sc, t1 = t, t2= t + t_, AG=sys.argv[3])
print st
elif len(sys.argv) == 5:
st = request(client = client_sc, t1 = t, t2= t + t_, AG=sys.argv[3], STA=sys.argv[4])
print st
elif len(sys.argv) == 6:
st = request(client = client_sc, t1 = t, t2= t + t_, AG=sys.argv[3], STA=sys.argv[4], LOC=sys.argv[5])
print st
elif len(sys.argv) == 7:
def main():
eventID = 4417721
client = Client("IRIS")
#cat = client.get_events(eventid=eventID)
#print cat
#timeSeriesClient = iris.Client()
eventLatitude = 40.8287
eventLongitude = -125.1338
#eventTime = '2014-03-10T05:18:13.4000'
eventMagnitude = 7.1
magUnit = 'MW'
#dt = UTCDateTime(eventTime)
##THIS LIST IS TO BE MADE BY PARSING EVENTS.CSV
'''eventList = [('5158626', 25.1395, -109.433, '2015-09-13T08:14:12.2400', 6.7, 'MWW'),\
('4768129', 38.2155, -122.3117, '2014-08-24T10:20:44.0600', 6.02, 'MW'),\
('4311182', 26.0913, -110.3209, '2013-10-19T17:54:54.7000', 6.6, 'MWW'),\
('3318739', 25.09, -109.5366, '2011-07-26T17:44:21.5100', 6.0, 'MW')]'''
#reading data from json file
with open('input.json') as data_file:
quake_data = json.load(data_file)
print quake_data
processedEvent = set()
if os.path.exists("processedEvent.p"):
pickleFile = open('processedEvent.p', 'rb')
processedEvent = pickle.load(pickleFile)
pickleFile.close()
netStationList = set()
for each_quake in quake_data:
eventID = each_quake['EventID']
if eventID in processedEvent:
continue
eventLatitude = each_quake['Latitude']
eventLongitude = each_quake['Longitude']
eventTime = each_quake['date'] + "T" + each_quake['time']
for each_net in USNETS:
try:
inventory = client.get_stations(network = each_net, latitude=eventLatitude, \
longitude=eventLongitude, maxradius=10)
#print type(inventory)
for each in inventory:
each_content = each.get_contents()
lat, lon = get_coordinates(each[0])
channelList = each_content['stations']
for each_channel in channelList:
randTime = random.randint(1, 10)
netStationList.add((each_channel.split()[0], lat, lon,eventLatitude,\
eventLongitude, eventTime, eventID, randTime))
except:
#print "Failed for", each_net
continue
#print "EARTHQUAKE", str(eventLatitude), str(eventLongitude), str(eventMagnitude), magUnit
#getting list of stations for US networks
#print USNETS
#print inventory.get_contents()
print "LENGTH OF NET STATION", len(netStationList)
#getting time series data in a loop
netRDD = sc.parallelize(netStationList)
outRDD = netRDD.map(processList).filter(lambda x: not x == 'FAIL')
#outRDD = netRDD.map(processList)
stationMag = outRDD.collect()
print stationMag
fStat = open('stationMagnitudes.txt', 'a')
#fStat.write('EventID,NETSTATIONID,LATITUDE,LONGITUDE,MAGNITUDE'+"\n")
for each_station in stationMag:
event_id = each_station.split(',')[0]
#print event_id
processedEvent.add(event_id)
fStat.write(each_station + "\n")
#f.write('test')
fStat.close()
pickleWrite = open("processedEvent.p", "w")
pickle.dump(processedEvent, pickleWrite)
pickleWrite.close()
def main():
eventID = 4417721
client = Client("IRIS")
cat = client.get_events(eventid=eventID)
#print cat
timeSeriesClient = iris.Client()
eventLatitude = 40.8287
eventLongitude = -125.1338
eventTime = '2012-04-12T07:15:49.1700'
eventMagnitude = 7.1
magUnit = 'MW'
dt = UTCDateTime(eventTime)
print "EARTHQUAKE", str(eventLatitude), str(
eventLongitude), str(eventMagnitude) + " " + magUnit
netStationList = set()
#getting list of stations for US networks
for each_net in USNETS:
try:
inventory = client.get_stations(network = each_net, latitude=eventLatitude,\
longitude=eventLongitude, maxradius=5)
#print type(inventory)
for each in inventory:
each_content = each.get_contents()
lat, lon = get_coordinates(each[0])
channelList = each_content['stations']
for each_channel in channelList:
netStationList.add((each_channel.split()[0], lat, lon))
except:
#print "Failed for", each_net
continue
#print inventory.get_contents()
#print netStationList
#getting time series data in a loop
for each1 in netStationList:
netStation = each1[0].split('.')
network = netStation[0]
station = netStation[1]
magList = []
try:
data = timeSeriesClient.resp(network, station, '*', '*', dt)
#print "SEEDLIST SUCCESS ", each1[0]
seedList = parseResponse(data.decode())
for each2 in seedList:
arr = each2.split('.')
try:
st = client.get_waveforms(arr[0], arr[1], arr[2], arr[3],
dt, dt + 1800)
#print "TIMESERIES SUCCESS", each2
ampl = get_amplitude(st, dt, each2)
local_mag = calculate_local_magnitude(
eventLatitude, eventLongitude, each1[1], each1[2],
ampl)
magList.append(local_mag)
#print each2, each1[1], each1[2], local_mag
#print "TIMESERIES SUCCESS", each2
except:
#print "TIMESERIES FAIL", each2
continue
if len(magList) > 0:
print each1[0], each1[1], each1[2], sum(magList) / float(
len(magList))
except:
#print 'SEEDLIST FAIL ', each1[0]
continue
