def get_waveforms():
events = get_events()
client = ArcClient()
wforms = Stream()
for event in events:
t = event.preferred_origin().time
args = seed_id.split('.') + [t + 5 * 60, t + 14 * 60]
wforms.extend(client.getWaveform(*args))
wforms.decimate(int(round(wforms[0].stats.sampling_rate)) // 5,
no_filter=True)
wforms.write(wavname, wavformat)
def get_waveforms():
events = get_events()
client = ArcClient(**client_kwargs)
wforms = Stream()
for i, event in enumerate(events):
print('Fetch data for event no. %d' % (i + 1))
t = event.preferred_origin().time
for sta in stations:
args = (net, sta, loc, cha, t - 10, t + 220)
try:
stream = client.getWaveform(*args)
except:
print('no data for %s' % (args,))
continue
sr = stream[0].stats.sampling_rate
stream.decimate(int(sr) // 20, no_filter=True)
for tr in stream:
del tr.stats.mseed
stream.merge()
wforms.extend(stream)
wforms.write(wavname, wavformat)
return wforms
def get_waveforms():
events = get_events()
client = ArcClient(**client_kwargs)
wforms = Stream()
for i, event in enumerate(events):
print('Fetch data for event no. %d' % (i + 1))
t = event.preferred_origin().time
for sta in stations:
args = (net, sta, loc, cha, t - 10, t + 220)
try:
stream = client.getWaveform(*args)
except:
print('no data for %s' % (args, ))
continue
sr = stream[0].stats.sampling_rate
stream.decimate(int(sr) // 20, no_filter=True)
for tr in stream:
del tr.stats.mseed
stream.merge()
wforms.extend(stream)
wforms.write(wavname, wavformat)
return wforms
client = Client("http://10.153.82.3:8080", timeout=60)
st = Stream()
num_stations = 0
exceptions = []
for station in STATIONS:
try:
# we request 60s more at start and end and cut them off later to avoid
# a false trigger due to the tapering during instrument correction
tmp = client.waveform.getWaveform(NET, station, "", CHANNEL, T1 - 180,
T2 + 180, getPAZ=True,
getCoordinates=True)
except Exception, e:
exceptions.append("%s: %s" % (e.__class__.__name__, e))
continue
st.extend(tmp)
num_stations += 1
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(st.__str__(extended=True))
if exceptions:
summary.append("#" * 33 + " Exceptions " + "#" * 33)
summary += exceptions
summary.append("#" * 79)
trig = []
def corr_trace_fun(signals, comb=[], normal=True,
parallel=True, processes=None):
""" Correlate Traces according to the given combinations
The `corr_trace_fun` correlates the Traces contained in the passed
:class:`~obspy.core.trace.Stream` object according to the list of
combinations `tuple` given in input. It does the job asynchronously
instantiating as many process as cores available in the hosting machine.
If traces do not share the same starttime the correlation trace is shifted
by fractions of a sample such that time alignment is obtained precisely at
the sample 1971-01-01T00:00:00Z. If there is no overlap between the
traces this time might not be in the stream.
:type signals: :class:`~obspy.core.stream.Stream`
:param signals: The container for the Traces that we want to correlate
:type comb: list, optional
:param comb: List of combinations that must be calculated
:type normal: bool, otional
:param normal: Normalization flag (See
:func:`~miic.core.corr_fun.conv_traces` for details)
:type parallel: bool (Default: True)
:pram parallel: If the filtering will be run in parallel or not
:type processes: int
:pram processes: Number of processes to start (if None it will be equal
to the number of cores available in the hosting machine)
:rtype: :class:`~obspy.core.stream.Stream`
:return: **corrData**: The resulting object containing the correlation data
and their meta-informations obtained as described
in thr function :func:`~miic.core.corr_fun.conv_traces`
"""
if not isinstance(signals, Stream):
raise TypeError("signal must be an obspy Stream object.")
corrData = Stream()
nSignal = signals.count()
if nSignal == 0:
print "Empty stream!!"
return corrData
if (nSignal == 1) and not (comb == [(1, 1)]):
print "Single trace. No cross correlation"
return corrData
if comb == []:
comb = [(k, i) for k in range(nSignal) for i in range(k + 1, nSignal)]
if not parallel:
dc = _doCorr(signals, normal)
corrData.extend(map(dc, comb))
else:
if processes == 0:
processes = None
p = Pool(processes=processes)
p.map_async(_doCorr(signals, normal),
comb,
callback=_AppendST(corrData))
p.close()
p.join()
return corrData
def _three_station_interferometry_pair(rec1, rec2):
"""
Calculate source-specific interferogram (:math:`C_3`)
and stack for :math:`I_3` for a station-pair.
"""
dest = get_fnm('I3', rec1, sta2=rec2)
if PARAM['skip']['I3'] and exists(dest):
logger.debug(f'Skip {dest}')
return dest
phprper = None
phprvel = None
if USE_DW and PARAM['interferometry']['phase_shift']:
phprper, phprvel = get_pred_pv(STA2NET[rec1], rec1, STA2NET[rec2], rec2)
dir_src = PARAM['interferometry'].get('dir_src', True)
dest_I3s = []
I3s = Stream()
nsrc = 0
n1 = 0
n2 = 0
for src in PAIR2SRC[f'{rec1}_{rec2}']:
dest_I3, I3 = _source_specifc_interferogram_pair(
rec1, rec2, src,
phprper=phprper, phprvel=phprvel,
)
if I3:
dest_I3s.extend(dest_I3)
I3s.extend(I3)
nsrc += 1
if dir_src:
if I3[0].stats.sac[KEY2SHD['dir_src']] == 1:
n1 += 1
else:
n2 += 1
# Do stack
if PARAM['write']['stack']:
my.sys_tool.mkdir(join(DIROUT, PARAM['dir']['I3'], rec1))
if nsrc < PARAM['stack']['min_src']:
logger.debug(f'Insufficient ({nsrc}) source-stations for {rec1}-{rec2}')
return
logger.debug(f'{nsrc} source-stations for {rec1}-{rec2}')
stats = I3s[0].stats.copy()
stats.sac[KEY2SHD['nsrc']] = nsrc
if dir_src:
stats.sac[KEY2SHD['nsrc_dir1']] = n1
stats.sac[KEY2SHD['nsrc_dir2']] = n2
for key in [
'src_net',
'src_sta',
'dir_src',
'dr',
'theta',
]:
stats.sac.pop(KEY2SHD[key])
sk = my.seis.stack(
I3s,
stats=stats,
kw_stack={**PARAM['stack'], **KEY2SHD},
kw_snr=PARAM['snr'],
)
if sk is None:
logger.warning(f'{rec1}-{rec2}: Failed for SNR')
return
else:
sk.write(dest, format='SAC')
if PARAM['stack']['rand']:
my.sys_tool.mkdir(join(
DIROUT,
PARAM['dir']['I3_rand'],
rec1,
rec2,
))
dest_rand = get_fnm('I3_rand', rec1, sta2=rec2)
for i, _sk in enumerate(my.seis.rand_stack(
I3s,
stats=stats,
kw_stack={**PARAM['stack'], **KEY2SHD},
kw_snr=PARAM['snr'],
)):
_sk.write(f'{dest_rand}.{i}', format='SAC')
# To save SNR in header after stack
if PARAM['write']['C3']:
my.sys_tool.mkdir(join(DIROUT, rec1, rec2))
for nm, tr in zip(dest_I3s, I3s):
tr.write(nm, format='SAC')
return dest
client = Client("http://10.153.82.3:8080", timeout=60)
st = Stream()
num_stations = 0
exceptions = []
for station in STATIONS:
try:
# we request 60s more at start and end and cut them off later to avoid
# a false trigger due to the tapering during instrument correction
tmp = client.waveform.getWaveform(NET, station, "", CHANNEL, T1 - 180,
T2 + 180, getPAZ=True,
getCoordinates=True)
except Exception, e:
exceptions.append("%s: %s" % (e.__class__.__name__, e))
continue
st.extend(tmp)
num_stations += 1
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(st.__str__(extended=True))
if exceptions:
summary.append("#" * 33 + " Exceptions " + "#" * 33)
summary += exceptions
summary.append("#" * 79)
trig = []
def correlate(io,
day,
outkey,
edge=60,
length=3600,
overlap=1800,
demean_window=True,
discard=None,
only_auto_correlation=False,
station_combinations=None,
component_combinations=('ZZ', ),
max_lag=100,
keep_correlations=False,
stack='1d',
njobs=0,
**preprocessing_kwargs):
"""
Correlate data of one day
:param io: io config dictionary
:param day: |UTC| object with day
:param outkey: the output key for the HDF5 index
:param edge: additional time span requested from day before and after
in seconds
:param length: length of correlation in seconds (string possible)
:param overlap: length of overlap in seconds (string possible)
:param demean_window: demean each window individually before correlating
:param discard: discard correlations with less data coverage
(float from interval [0, 1])
:param only_auto_correlations: Only correlate stations with itself
(different components possible)
:param station_combinations: specify station combinations
(e.g. ``'CX.PATCX-CX.PB01``, network code can be
omitted, e.g. ``'PATCX-PB01'``, default: all)
:param component_combinations: component combinations to calculate,
tuple of strings with length two, e.g. ``('ZZ', 'ZN', 'RR')``,
if ``'R'`` or ``'T'`` is specified, components will be rotated after
preprocessing, default: only ZZ components
:param max_lag: max time lag in correlations in seconds
:param keep_correlatons: write correlations into HDF5 file (dafault: False)
:param stack: stack correlations and write stacks into HDF5 file
(default: ``'1d'``, must be smaller than one day or one day)
.. note::
If you want to stack larger time spans
use the separate stack command on correlations or stacked
correlations.
:param njobs: number of jobs used. Some tasks will run parallel
(preprocessing and correlation).
:param \*\*preprocessing_kwargs: all other kwargs are passed to
`preprocess`
"""
inventory = io['inventory']
length = _time2sec(length)
overlap = _time2sec(overlap)
if not keep_correlations and stack is None:
msg = ('keep_correlation is False and stack is None -> correlations '
' would not be saved')
raise ValueError(msg)
components = set(''.join(component_combinations))
if 'R' in components or 'T' in components:
load_components = components - {'R', 'T'} | {'N', 'E'}
else:
load_components = components
if station_combinations is not None:
load_stations = set(sta for comb in station_combinations
for sta in comb.split('-'))
else:
load_stations = None
# load data
stream = obspy.Stream()
for smeta in _iter_station_meta(inventory, load_components):
if (load_stations is not None and smeta['station'] not in load_stations
and '.'.join((smeta['network'], smeta['station']))
not in load_stations):
continue
stream2 = get_data(smeta,
io['data'],
io['data_format'],
day,
overlap=overlap,
edge=edge)
if stream2:
stream += stream2
if len(stream) == 0:
log.warning('empty stream for day %s', str(day)[:10])
return
preprocess(stream,
day,
inventory,
overlap=overlap,
njobs=njobs,
**preprocessing_kwargs)
# collect trace pairs for correlation
next_day = day + 24 * 3600
stations = sorted({tr.id[:-1] for tr in stream})
tasks = []
for station1, station2 in itertools.combinations_with_replacement(
stations, 2):
if only_auto_correlation and station1 != station2:
continue
if station_combinations and not any(
set(station_comb.split('-')) ==
({station1.rsplit('.', 2)[0],
station2.rsplit('.', 2)[0]} if '.' in (station_comb) else
{station1.
split('.')[1], station2.split('.')[1]})
for station_comb in station_combinations):
continue
stream1 = Stream([tr for tr in stream if tr.id[:-1] == station1])
stream2 = Stream([tr for tr in stream if tr.id[:-1] == station2])
datetime1 = _midtime(stream1[0].stats)
datetime2 = _midtime(stream2[0].stats)
msg = 'Cannot get coordinates for channel %s datetime %s'
try:
c1 = inventory.get_coordinates(stream1[0].id, datetime=datetime1)
except Exception as ex:
raise RuntimeError(msg % (stream1[0].id, datetime1)) from ex
try:
c2 = inventory.get_coordinates(stream2[0].id, datetime=datetime2)
except Exception as ex:
raise RuntimeError(msg % (stream2[0].id, datetime2)) from ex
args = (c1['latitude'], c1['longitude'], c2['latitude'],
c2['longitude'])
dist, azi, baz = gps2dist_azimuth(*args)
if ('R' in components or 'T' in components) and station1 != station2:
stream1 = stream1.copy()
stream1b = stream1.copy().rotate('NE->RT', azi)
stream1.extend(stream1b.select(component='R'))
stream1.extend(stream1b.select(component='T'))
stream2 = stream2.copy()
stream2b = stream2.copy().rotate('NE->RT', azi)
stream2.extend(stream2b.select(component='R'))
stream2.extend(stream2b.select(component='T'))
it_ = (itertools.product(stream1, stream2) if station1 != station2 else
itertools.combinations_with_replacement(stream1, 2))
for tr1, tr2 in it_:
comps = tr1.stats.channel[-1] + tr2.stats.channel[-1]
if component_combinations and (comps not in component_combinations
and comps[::-1]
not in component_combinations):
continue
tasks.append((tr1, tr2, dist, azi, baz))
# start correlation
do_work = partial(_slide_and_correlate_traces, day, next_day, length,
overlap, discard, max_lag, outkey, demean_window)
streams = start_parallel_jobs_inner_loop(tasks, do_work, njobs)
xstream = Stream()
xstream.traces = [tr for s_ in streams for tr in s_]
if len(xstream) > 0:
res = {}
if keep_correlations:
res['corr'] = xstream
if stack:
res['stack'] = yam.stack.stack(xstream, stack)
return res
class sdschunk(chunk):
"""
This class walks a SDS archive by incremental time and
handle the synchronization of GAPS between traces supplied.
One class handle one stream, but, while the get() method is called
a list of streams can be passed what allows for getting a syncronized
list of traces and streams.
The return of the get() method is True or False. True when data was
added to others and False when no data was added to others.
"""
def __init__(self, path, N, S, L, C, verbose = False):
super().__init__(N, S, L, C, verbose)
if not os.path.isdir(path):
log(" Bad path to SDS", level=2, verbose=verbose)
self.path = path
self.N = N
self.S = S
self.L = L
self.C = C
self._verbose = verbose
self._S = Stream()
self._last_time = None
self._visited = []
log(f" I:> New SDSCHUNK {N}.{S}.{L}.{C} @ {self.path}", level=0,
verbose=verbose)
def _make_path(self, d):
path = "%s/%04d/%s/%s/%s.D/%s.%s.%s.%s.D.%04d.%03d" % (self.path,
d.year, self.N, self.S, self.C,self.N, self.S, self.L,
self.C, d.year, d.julday)
if path in self._visited: return None
self._visited.append(path)
return path
def _update(self, s, e):
s2 = (UTCDateTime(s.date) - 86400 / 2) if UTCDateTime(s).hour == 0 and\
UTCDateTime(s).minute < 30 else UTCDateTime(s.date)
e2 = (UTCDateTime(e.date) + 2 * 86400) if UTCDateTime(e).hour == 23 and\
UTCDateTime(e).minute > 30 else (UTCDateTime(e.date) + 1*86400)
while s2 < e2:
self._extend(self._make_path(s2))
s2 += 86400
self._clean(s)
return self._last_time
def _extend(self, filename):
if filename is None or not os.path.isfile(filename): return False
self._S.extend(read(filename))
self._S.merge(method = -1)
self._S.sort()
log(f" W:> READ: {filename}", level=0, verbose=self._verbose)
self._last_time = self._S[-1].stats.endtime
return True
def download(self, location, channel, solstart, solend, replace=False):
"""
Download and store data
location [str]: location code
channel [str]: channel code
solstart [int]: initial download time in Sols
solend [int]: final download time in Sols
replace [bool]: if True, will replace existing files with ney ones
"""
if solstart > solend or solstart < 0 or solend < 0:
log(f"Wrong Sol: {solstart} -> {solend}")
# Starttime and Endtime converted from Sol to UTC
time0, _ = sol_span_in_utc(solstart)
_, time1 = sol_span_in_utc(solend)
# Fix continuity
ST = Stream()
for year in range(time0.year, time1.year + 1, 1):
start = max(UTCDateTime(f"{year}-01-01"), time0)
end = min(UTCDateTime(f"{year}-12-31T23:59:59.999999"), time1)
for julday in range(start.julday, end.julday + 1, 1):
# Starttime and Endtime for the entire julian day
julday_t0, julday_t1 = julday_in_utc(year, julday)
# Active channels
loc_cha_running = self._get_cha(location, channel, julday_t0,
julday_t1)
for lc_id in loc_cha_running:
loc, cha = lc_id.split(".")
filename = self._gen_path(loc, cha, year, julday)
code = f"{self.net}.{self.sta}.{loc}.{cha}"
# File already exists
if os.path.exists(filename) and not replace:
log(f"FILE: {os.path.basename(filename)} already " +\
"exists. Download will skip this day",
level=1, verbose=self.verbose)
continue
else:
try:
st = CLIENT.get_waveforms(network=self.net,
station=self.sta, location=loc,
channel=cha, starttime=julday_t0-10,
endtime=julday_t1+10)
ST.extend([st[0]]).merge(method=1)
ST.trim(julday_t0-10, julday_t1+10)
st = ST.slice(julday_t0, julday_t1,
nearest_sample=False).select(location=loc,
channel=cha)
if len(st) == 0:
continue
except header.FDSNNoDataException as E:
log(f"{E}", level=1, verbose=self.verbose)
continue
except Exception as E:
log(f"{E}", level=2, verbose=self.verbose)
log(f"DOWNLOAD: {code} Julday: {julday}",
level=0, verbose=self.verbose)
# SDS Creation/Update
self._make_dir(year, cha)
if any(np.ma.is_masked(tr.data) for tr in st):
print("MASKED")
# for i in range(len(st)):
# st[i].data = st[i].data.filled()
st.split().write(filename, format="MSEED")
def usarray_read(fname):
""" Read the BAM US-Array lbv data format used on Mike-2 test specimen.
Read the BAM US-Array lbv data format used on Mike-2 test specimen into a
stream object.
As there is no obvious station (or any other) information in the data file.
As the parameters are not supposed to change, they are hardcoded here.
:parameters:
------------
:type fname: string
:param fname: Path to the file containing the data to be read
(WITHOUT EXTENSION) extensions .dat and .hdr will be added
automatically
:rtype: :class:`~obspy.core.Stream` object
:return: **st**: obspy.core.Stream object
Obspy stream object containing the data
"""
# filenames
lbvfilename = fname + '.lbv'
hdrfilename = fname + '.hdr'
# initialise
st = Stream()
tr = Trace()
# tr = SacIO()
# static parameters
t = os.path.getmtime(hdrfilename)
tt = datetime.datetime.fromtimestamp(t)
tr.stats['starttime'] = UTCDateTime(tt.year, tt.month, tt.day, tt.hour,
tt.minute, tt.second, tt.microsecond)
tr.stats['network'] = 'BAM-USArray'
tr.stats['channel'] = 'z'
# reading header from file
fh = open(hdrfilename, 'r')
while True:
line = fh.readline()
if line.__len__() < 1:
break
line = line.rstrip()
if line.find('PK') > -1:
parts = re.split(':', line)
tr.stats['location'] = parts[1].lstrip()
if line.find('transceivers') > -1:
parts = re.split(':', line)
ntra = int(parts[1].lstrip())
traco = np.zeros((ntra, 3), float)
for i in range(ntra):
coordstr = fh.readline().split()
for j in range(3):
traco[i, j] = float(coordstr[j])
if line.find('measurements') > -1:
parts = re.split(':', line)
nmeas = int(parts[1].lstrip())
measco = np.zeros((nmeas, 2), int)
for i in range(nmeas):
configstr = fh.readline().split()
for j in range(2):
measco[i, j] = float(configstr[j])
if line.find('samples') > -1:
parts = re.split(':', line)
tr.stats['npts'] = int(parts[1].lstrip())
if line.find('samplefreq') > -1:
parts = re.split(':', line)
tr.stats['sampling_rate'] = int(parts[1].lstrip())
fh.close()
# reading data from file
fd = open(lbvfilename, 'rb')
datatype = '>i2'
read_data = np.fromfile(file=fd, dtype=datatype)
fd.close()
# sort and store traces
for i in range(nmeas):
# receiver number stored as station name
tr.stats['station'] = str(measco[i, 1])
# receiver coords (storing not yet implemented)
stla = traco[measco[i, 1] - 1, 1] # x
stlo = traco[measco[i, 1] - 1, 1] # y
stel = traco[measco[i, 1] - 1, 1] # z
# transmitter number stored as event name (storing not yet implemented)
kevnm = str(measco[i, 0])
# transmitter coords (storing not yet implemented)
evla = traco[measco[i, 1] - 1, 0] # x
evlo = traco[measco[i, 1] - 1, 0] # y
evdp = traco[measco[i, 1] - 1, 0] # z
tr.data = read_data[i * tr.stats.npts:(i + 1) * tr.stats.npts]
st.extend([tr])
# plot 1 trace for test purposes
# if i==20:
# tr.plot()
# print ('plot done')
return st
def kutec_read(fname):
""" Read the K-UTec proprietary file format.
Read data in the K-UTec specific IMC FAMOS format into a stream object.
As there is no obvious station information in the data file
Network is set to KU and Station is set to the first five letters of the
filename.
:parameters:
------------
fname : string
path to the file containing the data to be read
.. rubric:: Returns
st : obspy.core.Stream object
Obspy stream object containing the data
"""
tr = Trace()
line = []
keys = {}
f = open(fname, 'r')
char = f.read(1) # read leading '|'
while char == '|':
key = []
cnt = 0
while 1:
key.append(f.read(1))
if key[-1] == ',':
cnt += 1
if cnt == 3:
break
tkeys = string.split(string.join(key, ''), ',')
key.append(f.read(int(tkeys[2])))
keyline = string.join(key, '')
f.read(1) # read terminating ';'
char = f.read(1) # read leading '|'
# print char
while (char == '\r') or (char == '\n'):
char = f.read(1) # read leading '|'
# print char
keyval = keyline.split(',')
# ######
# # in the post 20120619 version files there are leading
# linefeed in the key (\n), remove them here
if keyval[0].startswith('\n|'):
print "does this happen", keyval
keyval[0] = keyval[0][2:]
if keyval[0] == 'CF':
keys[keyval[0]] = {}
keys[keyval[0]]['Dateiformat'] = int(keyval[1])
keys[keyval[0]]['Keylaenge'] = int(keyval[2])
keys[keyval[0]]['Prozessor'] = int(keyval[3])
elif keyval[0] == 'CK':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['Dump'] = keyval[3]
keys[keyval[0]]['Abgeschlossen'] = int(keyval[3])
if keys[keyval[0]]['Abgeschlossen'] != 1:
print "%s %s = %s not implemented." % (keyval[0], \
'Abgeschlossen', keys[keyval[0]]['DirekteFolgeAnzahl'])
elif keyval[0] == 'NO':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['Ursprung'] = int(keyval[3])
keys[keyval[0]]['NameLang'] = int(keyval[4])
keys[keyval[0]]['Name'] = keyval[5]
keys[keyval[0]]['KommLang'] = int(keyval[6])
if keys[keyval[0]]['KommLang']:
keys[keyval[0]]['Kommemtar'] = keyval[7]
elif keyval[0] == 'CP':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['BufferReferenz'] = int(keyval[3])
keys[keyval[0]]['Bytes'] = int(keyval[4]) # Bytes fuer
# einen Messwert
keys[keyval[0]]['ZahlenFormat'] = int(keyval[5])
keys[keyval[0]]['SignBits'] = int(keyval[6])
keys[keyval[0]]['Maske'] = int(keyval[7])
keys[keyval[0]]['Offset'] = int(keyval[8])
keys[keyval[0]]['DirekteFolgeAnzahl'] = int(keyval[9])
keys[keyval[0]]['AbstandBytes'] = int(keyval[10])
if keys[keyval[0]]['DirekteFolgeAnzahl'] != 1:
print "%s %s = %s not implemented." % (keyval[0], \
'DirekteFolgeAnzahl', keys[keyval[0]]['DirekteFolgeAnzahl'])
break
elif keyval[0] == 'Cb':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['AnzahlBufferInKey'] = int(keyval[3])
if keys[keyval[0]]['AnzahlBufferInKey'] != 1:
print "%s %s = %d not implemented." % (keyval[0], \
'AnzahlBufferInKey', keys[keyval[0]]['AnzahlBufferInKey'])
break
keys[keyval[0]]['BytesInUserInfo'] = int(keyval[4])
keys[keyval[0]]['BufferReferenz'] = int(keyval[5])
keys[keyval[0]]['IndexSampleKey'] = int(keyval[6])
keys[keyval[0]]['OffsetBufferInSampleKey'] = int(keyval[7])
if keys[keyval[0]]['OffsetBufferInSampleKey'] != 0:
print "%s %s = %d not implemented." % (keyval[0], \
'OffsetBufferInSampleKey', \
keys[keyval[0]]['OffsetBufferInSampleKey'])
break
keys[keyval[0]]['BufferLangBytes'] = int(keyval[8])
keys[keyval[0]]['OffsetFirstSampleInBuffer'] = int(keyval[9])
if keys[keyval[0]]['OffsetFirstSampleInBuffer'] != 0:
print "%s %s = %d not implemented." % (keyval[0], \
'OffsetFirstSampleInBuffer', \
keys[keyval[0]]['OffsetFirstSampleInBuffer'])
break
keys[keyval[0]]['BufferFilledBytes'] = int(keyval[10])
keys[keyval[0]]['x0'] = float(keyval[12])
keys[keyval[0]]['Addzeit'] = float(keyval[13])
if keys[keyval[0]]['BytesInUserInfo']:
keys[keyval[0]]['UserInfo'] = int(keyval[14])
elif keyval[0] == 'CS':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['AnzahlBufferInKey'] = int(keyval[3])
tmp = string.join(keyval[4:], ',')
keys[keyval[0]]['Rohdaten'] = tmp
npts = keys['Cb']['BufferFilledBytes'] / keys['CP']['Bytes']
tr.stats['npts'] = npts
# allocate array
tr.data = np.ndarray(npts, dtype=float)
# treat different number formats
if keys['CP']['ZahlenFormat'] == 4:
tmp = np.fromstring(keys['CS']['Rohdaten'], dtype='uint8', \
count=npts * 2)
tr.data = (tmp[0::2].astype(float) + \
(tmp[1::2].astype(float) * 256))
tr.data[np.nonzero(tr.data > 32767)] -= 65536
elif keys['CP']['ZahlenFormat'] == 8:
tr.data = np.fromstring(keys['CS']['Rohdaten'],
dtype='float64',
count=npts)
else:
print "%s %s = %d not implemented." % (keyval[0], \
'ZahlenFormat', keys[keyval[0]]['ZahlenFormat'])
break
elif keyval[0] == 'NT':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['Tag'] = int(keyval[3])
keys[keyval[0]]['Monat'] = int(keyval[4])
keys[keyval[0]]['Jahr'] = int(keyval[5])
keys[keyval[0]]['Stunden'] = int(keyval[6])
keys[keyval[0]]['Minuten'] = int(keyval[7])
keys[keyval[0]]['Sekunden'] = float(keyval[8])
tr.stats['starttime'] = UTCDateTime(keys[keyval[0]]['Jahr'], \
keys[keyval[0]]['Monat'], \
keys[keyval[0]]['Tag'], \
keys[keyval[0]]['Stunden'], \
keys[keyval[0]]['Minuten'], \
keys[keyval[0]]['Sekunden'])
elif keyval[0] == 'CD':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['dx'] = float(keyval[3])
tr.stats['delta'] = keys[keyval[0]]['dx']
keys[keyval[0]]['kalibiert'] = int(keyval[4])
if keys[keyval[0]]['kalibiert'] != 1:
print "%s %s = %d not implemented." % \
(keyval[0], 'kalibiert',
keys[keyval[0]]['kalibiert'])
break
keys[keyval[0]]['EinheitLang'] = int(keyval[5])
keys[keyval[0]]['Einheit'] = keyval[6]
if keys[keyval[0]]['Version'] == 2:
keys[keyval[0]]['Reduktion'] = int(keyval[7])
keys[keyval[0]]['InMultiEvents'] = int(keyval[8])
keys[keyval[0]]['SortiereBuffer'] = int(keyval[9])
keys[keyval[0]]['x0'] = float(keyval[10])
keys[keyval[0]]['PretriggerVerwendung'] = int(keyval[11])
if keys[keyval[0]]['Version'] == 1:
keys[keyval[0]]['Reduktion'] = ''
keys[keyval[0]]['InMultiEvents'] = ''
keys[keyval[0]]['SortiereBuffer'] = ''
keys[keyval[0]]['x0'] = ''
keys[keyval[0]]['PretriggerVerwendung'] = 0
elif keyval[0] == 'CR':
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['Transformieren'] = int(keyval[3])
keys[keyval[0]]['Faktor'] = float(keyval[4])
keys[keyval[0]]['Offset'] = float(keyval[5])
keys[keyval[0]]['Kalibriert'] = int(keyval[6])
keys[keyval[0]]['EinheitLang'] = int(keyval[7])
keys[keyval[0]]['Einheit'] = keyval[8]
elif keyval[0] == 'CN': # station names
keys[keyval[0]] = {}
keys[keyval[0]]['Version'] = int(keyval[1])
keys[keyval[0]]['Lang'] = int(keyval[2])
keys[keyval[0]]['IndexGruppe'] = int(keyval[3])
keys[keyval[0]]['IndexBit'] = int(keyval[5])
keys[keyval[0]]['NameLang'] = int(keyval[6])
keys[keyval[0]]['Name'] = keyval[7]
keys[keyval[0]]['KommLang'] = int(keyval[8])
keys[keyval[0]]['Kommentar'] = keyval[9]
else:
keys[keyval[0]] = {}
keys[keyval[0]]['KeyString'] = keyval[1:]
# NT key is beginning of measurement (starting of measurement unit)
# keys['Cb']['Addzeit'] needs to be added to obtain the absolute trigger
# time
tr.stats['starttime'] += keys['Cb']['Addzeit']
# Adjust starttime according to pretrigger (There is some uncertainty
# about the CD key) to get relative trigger time
# for CD:Version == 1 always use Cb:x0
# for CD:Version == 2 only use Cb:x0 if CD:PretriggerVerwendung == 1
if keys['CD']['Version'] == 1 or \
(keys['CD']['Version'] == 2 and
keys['CD']['PretriggerVerwendung'] == 1):
tr.stats['starttime'] += keys['Cb']['x0']
if 'CR' in keys:
if keys['CR']['Transformieren']:
tr.data = tr.data * keys['CR']['Faktor'] + keys['CR']['Offset']
f.close()
# ### Channel naming
tr.stats['network'] = 'KU'
tr.stats['location'] = ''
# ### Pre 20120619 namin convention to extract the station name from the
# filename
# tr.stats['station'] = fname[-12:-7]
# ### Now take the station name from the ICN key
tr.stats['station'] = keys['CN']['Name'].replace('_', '')
# ### or construct a name that is consistent with the old filename
# generated one from the key
# ### This is is very likely to cause a problem sooner or later.
# tr.stats['station'] = 'MK%03d' % int(keys['CN']['Name'].split('_')[-1])
# tr.stats['station'] = keys['CN']['Name'].replace('_','')
st = Stream()
st.extend([tr])
return st
def corr_trace_fun(signals, comb=[], normal=True,
parallel=True, processes=None):
""" Correlate Traces according to the given combinations
The `corr_trace_fun` correlates the Traces contained in the passed
:class:`~obspy.core.trace.Stream` object according to the list of
combinations `tuple` given in input. It does the job asynchronously
instantiating as many process as cores available in the hosting machine.
If traces do not share the same starttime the correlation trace is shifted
by fractions of a sample such that time alignment is obtained precisely at
the sample 1971-01-01T00:00:00Z. If there is no overlap between the
traces this time might not be in the stream.
:type signals: :class:`~obspy.core.stream.Stream`
:param signals: The container for the Traces that we want to correlate
:type comb: list, optional
:param comb: List of combinations that must be calculated
:type normal: bool, otional
:param normal: Normalization flag (See
:func:`~miic.core.corr_fun.conv_traces` for details)
:type parallel: bool (Default: True)
:pram parallel: If the filtering will be run in parallel or not
:type processes: int
:pram processes: Number of processes to start (if None it will be equal
to the number of cores available in the hosting machine)
:rtype: :class:`~obspy.core.stream.Stream`
:return: **corrData**: The resulting object containing the correlation data
and their meta-informations obtained as described
in thr function :func:`~miic.core.corr_fun.conv_traces`
"""
if not isinstance(signals, Stream):
raise TypeError("signal must be an obspy Stream object.")
corrData = Stream()
nSignal = signals.count()
if nSignal == 0:
print "Empty stream!!"
return corrData
if (nSignal == 1) and not (comb == [(1, 1)]):
print "Single trace. No cross correlation"
return corrData
if comb == []:
comb = [(k, i) for k in range(nSignal) for i in range(k + 1, nSignal)]
if not parallel:
dc = _doCorr(signals, normal)
corrData.extend(map(dc, comb))
else:
if processes == 0:
processes = None
p = Pool(processes=processes)
p.map_async(_doCorr(signals, normal),
comb,
callback=_AppendST(corrData))
p.close()
p.join()
return corrData
# search given timespan one hour at a time, set initial T1 one hour earlier
T1 = START - (60 * 60 * 1)
while T1 < END:
T1 += (60 * 60 * 1)
T2 = T1 + (60 * 60 * 1)
st = Stream()
num_stations = 0
for station in STATIONS:
try:
# we request 60s more at start and end and cut them off later to avoid
# a false trigger due to the tapering during instrument correction
tmp = client.waveform.getWaveform(NET, station, "", CHANNEL, T1 - 60,
T2 + 60, getPAZ=True,
getCoordinates=True)
st.extend(tmp)
num_stations += 1
except Exception, e:
if "No waveform data available" in str(e):
continue
raise
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(str(st))
if not st:
st = Stream()
num_stations = 0
for station in STATIONS:
try:
# we request 60s more at start and end and cut them off later to avoid
# a false trigger due to the tapering during instrument correction
tmp = client.waveform.getWaveform(NET,
station,
"",
CHANNEL,
T1 - 60,
T2 + 60,
getPAZ=True,
getCoordinates=True)
st.extend(tmp)
num_stations += 1
except Exception, e:
if "No waveform data available" in str(e):
continue
raise
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(str(st))
if not st:
