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 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 main():
#==== INITIALIZE ====
#---- parameters ----
redownload = False
basedir = 'semucb_dataset'
datadir = os.path.join(basedir,'data')
t1,t2 = -3600.,10000.
#---- input files ----
fname_evcatalogue = os.path.join(basedir,'evcatalogue_semucb.ndk')
fname_stcatalogue = os.path.join(basedir,'receivers.dat')
#==== PREPARE DOWNLOAD LIST ====
print 'reading station list...'
stcatalogue = RecFile(fname_stcatalogue)
print 'retrieved {:d} stations'.format(stcatalogue.ndata)
unique_stations = set(stcatalogue.stations)
print 'unique stations: {}'.format(len(unique_stations))
print 'reading event catalogue...'
evcatalogue = NDKFile(fname_evcatalogue)
print 'found {:d} events'.format(evcatalogue.nevents)
create_dir(datadir)
#==== LOOP THROUGH EVENTS ====
client = Client('Iris')
for name,event in zip(evcatalogue.names[0:1],evcatalogue.events[0:1]):
print '---- {:s} ----'.format(name)
runtime = time.time()
fname_events = '{:s}_events.xml'.format(name)
fname_stations = '{:s}_stations.xml'.format(name)
fname_mseed = '{:s}_waveforms.mseed'.format(name)
path_stations = os.path.join(datadir,fname_stations)
path_events = os.path.join(datadir,fname_events)
path_mseed = os.path.join(datadir,fname_mseed)
#---- check if data exist ----
if os.path.exists(path_mseed)\
and os.path.exists(path_events)\
and os.path.exists(path_stations):
print 'data already exists, continuing ...'
continue
#---- prepare redownload ----
tstart = event.origin+event.ctime+t1
tend = event.origin+event.ctime+t2
downloadlist = [('*',stat,'*','LH*',tstart,tend) for stat in unique_stations]
print 'downloading ...'.format(tstart,tend)
try:
inventory = client.get_stations_bulk(downloadlist,level='response')
events = client.get_events(minmag=5.0,starttime=tstart,endtime=tend)
waveforms = client.get_waveforms_bulk(downloadlist,
attach_response=False,longestonly=True)
except Exception,err:
print err
print 'ERROR WHILE DOWNLOADING'
continue
#---- write to file ----
try:
inventory.write(path_stations,format='STATIONXML')
events.write(path_events,format='QUAKEML')
waveforms.write(path_mseed,format='MSEED')
except Exception,err:
print err
print 'SAVING ERROR'
continue
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
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
def getEvents(args):
client = Client("Iris")
events = client.get_events(minmag=5.0, starttime=args["starttime"], endtime=args["endtime"])
print "found these events:"
print events
return events
