def _parse_arrivals(self, event, origin, origin_res_id):
# Skip header of arrivals
next(self.lines)
# Stop the loop after 2 empty lines (according to the standard).
previous_line_empty = False
for line in self.lines:
line_empty = not line or line.isspace()
if not self.event_point_separator:
# Event are separated by two empty lines
if line_empty and previous_line_empty:
break
else:
# Event are separated by '.'
if line.startswith('.'):
break
previous_line_empty = line_empty
if line_empty:
# Skip empty lines when the loop should be stopped by
# point
continue
magnitude_types = []
magnitude_values = []
fields = self.fields['arrival']
station = line[fields['sta']].strip()
distance = line[fields['dist']].strip()
event_azimuth = line[fields['ev_az']].strip()
evaluation_mode = line[fields['picktype']].strip()
direction = line[fields['direction']].strip()
onset = line[fields['detchar']].strip()
phase = line[fields['phase']].strip()
time = line[fields['time']].strip().replace('/', '-')
time_residual = line[fields['t_res']].strip()
arrival_azimuth = line[fields['azim']].strip()
azimuth_residual = line[fields['az_res']].strip()
slowness = line[fields['slow']].strip()
slowness_residual = line[fields['s_res']].strip()
time_defining_flag = line[fields['t_def']].strip()
azimuth_defining_flag = line[fields['a_def']].strip()
slowness_defining_flag = line[fields['s_def']].strip()
snr = line[fields['snr']].strip()
amplitude_value = line[fields['amp']].strip()
period = line[fields['per']].strip()
magnitude_types.append(line[fields['mag_type_1']].strip())
magnitude_values.append(line[fields['mag_1']].strip())
magnitude_types.append(line[fields['mag_type_2']].strip())
magnitude_values.append(line[fields['mag_2']].strip())
line_id = line[fields['id']].strip()
# Don't take pick and arrival with wrong time residual
if '*' in time_residual:
continue
try:
pick = Pick()
pick.creation_info = self._get_creation_info()
pick.waveform_id = WaveformStreamID()
pick.waveform_id.station_code = station
pick.time = UTCDateTime(time)
network_code = self.default_network_code
location_code = self.default_location_code
channel_code = self.default_channel_code
try:
network_code, channel = self._get_channel(station,
pick.time)
if channel:
channel_code = channel.code
location_code = channel.location_code
except TypeError:
pass
pick.waveform_id.network_code = network_code
pick.waveform_id.channel_code = channel_code
if location_code:
pick.waveform_id.location_code = location_code
try:
ev_mode = EVALUATION_MODES[evaluation_mode]
pick.evaluation_mode = ev_mode
except KeyError:
pass
try:
pick.polarity = PICK_POLARITIES[direction]
except KeyError:
pass
try:
pick.onset = PICK_ONSETS[onset]
except KeyError:
pass
pick.phase_hint = phase
try:
pick.backazimuth = float(arrival_azimuth)
except ValueError:
pass
try:
pick.horizontal_slowness = float(slowness)
except ValueError:
pass
public_id = "pick/%s" % line_id
pick.resource_id = self._get_res_id(public_id)
event.picks.append(pick)
except (TypeError, ValueError, AttributeError):
# Can't parse pick, skip arrival and amplitude parsing
continue
arrival = Arrival()
arrival.creation_info = self._get_creation_info()
try:
arrival.pick_id = pick.resource_id.id
except AttributeError:
pass
arrival.phase = phase
try:
arrival.azimuth = float(event_azimuth)
except ValueError:
pass
try:
arrival.distance = float(distance)
except ValueError:
pass
try:
arrival.time_residual = float(time_residual)
except ValueError:
pass
try:
arrival.backazimuth_residual = float(azimuth_residual)
except ValueError:
pass
try:
arrival.horizontal_slowness_residual = float(slowness_residual)
except ValueError:
pass
if time_defining_flag == 'T':
arrival.time_weight = 1
if azimuth_defining_flag == 'A':
arrival.backazimuth_weight = 1
if slowness_defining_flag == 'S':
arrival.horizontal_slowness_weight = 1
public_id = "arrival/%s" % line_id
arrival.resource_id = self._get_res_id(public_id,
parent_res_id=origin_res_id)
origin.arrivals.append(arrival)
try:
amplitude = Amplitude()
amplitude.creation_info = self._get_creation_info()
amplitude.generic_amplitude = float(amplitude_value)
try:
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
except AttributeError:
pass
try:
amplitude.period = float(period)
except ValueError:
pass
try:
amplitude.snr = float(snr)
except ValueError:
pass
for i in [0, 1]:
if magnitude_types[i] and not magnitude_types[i].isspace():
amplitude.magnitude_hint = magnitude_types[i]
public_id = "amplitude/%s" % line_id
amplitude.resource_id = self._get_res_id(public_id)
event.amplitudes.append(amplitude)
for i in [0, 1]:
sta_mag = StationMagnitude()
sta_mag.creation_info = self._get_creation_info()
sta_mag.origin_id = origin_res_id
sta_mag.amplitude_id = amplitude.resource_id
sta_mag.station_magnitude_type = magnitude_types[i]
sta_mag.mag = magnitude_values[i]
public_id = "magnitude/station/%s/%s" % (line_id, i)
sta_mag.resource_id = self._get_res_id(public_id)
event.station_magnitudes.append(sta_mag)
except ValueError:
pass
def _parse_arrivals(self, event, origin, origin_res_id):
# Skip header of arrivals
next(self.lines)
# Stop the loop after 2 empty lines (according to the standard).
previous_line_empty = False
for line in self.lines:
line_empty = not line or line.isspace()
if not self.event_point_separator:
# Event are separated by two empty lines
if line_empty and previous_line_empty:
break
else:
# Event are separated by '.'
if line.startswith('.'):
break
previous_line_empty = line_empty
if line_empty:
# Skip empty lines when the loop should be stopped by
# point
continue
magnitude_types = []
magnitude_values = []
fields = self.fields['arrival']
station = line[fields['sta']].strip()
distance = line[fields['dist']].strip()
event_azimuth = line[fields['ev_az']].strip()
evaluation_mode = line[fields['picktype']].strip()
direction = line[fields['direction']].strip()
onset = line[fields['detchar']].strip()
phase = line[fields['phase']].strip()
time = line[fields['time']].strip().replace('/', '-')
time_residual = line[fields['t_res']].strip()
arrival_azimuth = line[fields['azim']].strip()
azimuth_residual = line[fields['az_res']].strip()
slowness = line[fields['slow']].strip()
slowness_residual = line[fields['s_res']].strip()
time_defining_flag = line[fields['t_def']].strip()
azimuth_defining_flag = line[fields['a_def']].strip()
slowness_defining_flag = line[fields['s_def']].strip()
snr = line[fields['snr']].strip()
amplitude_value = line[fields['amp']].strip()
period = line[fields['per']].strip()
magnitude_types.append(line[fields['mag_type_1']].strip())
magnitude_values.append(line[fields['mag_1']].strip())
magnitude_types.append(line[fields['mag_type_2']].strip())
magnitude_values.append(line[fields['mag_2']].strip())
line_id = line[fields['id']].strip()
# Don't take pick and arrival with wrong time residual
if '*' in time_residual:
continue
try:
pick = Pick()
pick.creation_info = self._get_creation_info()
pick.waveform_id = WaveformStreamID()
pick.waveform_id.station_code = station
pick.time = UTCDateTime(time)
network_code = self.default_network_code
location_code = self.default_location_code
channel_code = self.default_channel_code
try:
network_code, channel = self._get_channel(
station, pick.time)
if channel:
channel_code = channel.code
location_code = channel.location_code
except TypeError:
pass
pick.waveform_id.network_code = network_code
pick.waveform_id.channel_code = channel_code
if location_code:
pick.waveform_id.location_code = location_code
try:
ev_mode = EVALUATION_MODES[evaluation_mode]
pick.evaluation_mode = ev_mode
except KeyError:
pass
try:
pick.polarity = PICK_POLARITIES[direction]
except KeyError:
pass
try:
pick.onset = PICK_ONSETS[onset]
except KeyError:
pass
pick.phase_hint = phase
try:
pick.backazimuth = float(arrival_azimuth)
except ValueError:
pass
try:
pick.horizontal_slowness = float(slowness)
except ValueError:
pass
public_id = "pick/%s" % line_id
pick.resource_id = self._get_res_id(public_id)
event.picks.append(pick)
except (TypeError, ValueError, AttributeError):
# Can't parse pick, skip arrival and amplitude parsing
continue
arrival = Arrival()
arrival.creation_info = self._get_creation_info()
try:
arrival.pick_id = pick.resource_id.id
except AttributeError:
pass
arrival.phase = phase
try:
arrival.azimuth = float(event_azimuth)
except ValueError:
pass
try:
arrival.distance = float(distance)
except ValueError:
pass
try:
arrival.time_residual = float(time_residual)
except ValueError:
pass
try:
arrival.backazimuth_residual = float(azimuth_residual)
except ValueError:
pass
try:
arrival.horizontal_slowness_residual = float(slowness_residual)
except ValueError:
pass
if time_defining_flag == 'T':
arrival.time_weight = 1
if azimuth_defining_flag == 'A':
arrival.backazimuth_weight = 1
if slowness_defining_flag == 'S':
arrival.horizontal_slowness_weight = 1
public_id = "arrival/%s" % line_id
arrival.resource_id = self._get_res_id(public_id,
parent_res_id=origin_res_id)
origin.arrivals.append(arrival)
try:
amplitude = Amplitude()
amplitude.creation_info = self._get_creation_info()
amplitude.generic_amplitude = float(amplitude_value)
try:
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
except AttributeError:
pass
try:
amplitude.period = float(period)
except ValueError:
pass
try:
amplitude.snr = float(snr)
except ValueError:
pass
for i in [0, 1]:
if magnitude_types[i] and not magnitude_types[i].isspace():
amplitude.magnitude_hint = magnitude_types[i]
public_id = "amplitude/%s" % line_id
amplitude.resource_id = self._get_res_id(public_id)
event.amplitudes.append(amplitude)
for i in [0, 1]:
sta_mag = StationMagnitude()
sta_mag.creation_info = self._get_creation_info()
sta_mag.origin_id = origin_res_id
sta_mag.amplitude_id = amplitude.resource_id
sta_mag.station_magnitude_type = magnitude_types[i]
sta_mag.mag = magnitude_values[i]
sta_mag.waveform_id = pick.waveform_id
public_id = "magnitude/station/%s/%s" % (line_id, i)
sta_mag.resource_id = self._get_res_id(public_id)
event.station_magnitudes.append(sta_mag)
# Associate station mag with network mag of same type
mag = self._find_magnitude_by_type(event, origin_res_id,
magnitude_types[i])
if mag:
contrib = StationMagnitudeContribution()
contrib.station_magnitude_id = sta_mag.resource_id
contrib.weight = 1.0
mag.station_magnitude_contributions.append(contrib)
except ValueError:
pass
def write_qml(config, sourcepar):
if not config.options.qml_file:
return
qml_file = config.options.qml_file
cat = read_events(qml_file)
evid = config.hypo.evid
try:
ev = [e for e in cat if evid in str(e.resource_id)][0]
except Exception:
logging.warning('Unable to find evid "{}" in QuakeML file. '
'QuakeML output will not be written.'.format(evid))
origin = ev.preferred_origin()
if origin is None:
origin = ev.origins[0]
origin_id = origin.resource_id
origin_id_strip = origin_id.id.split('/')[-1]
origin_id_strip = origin_id_strip.replace(config.smi_strip_from_origin_id,
'')
# Common parameters
ssp_version = get_versions()['version']
method_id = config.smi_base + '/sourcespec/' + ssp_version
cr_info = CreationInfo()
cr_info.agency_id = config.agency_id
if config.author is None:
author = '{}@{}'.format(getuser(), gethostname())
else:
author = config.author
cr_info.author = author
cr_info.creation_time = UTCDateTime()
means = sourcepar.means_weight
errors = sourcepar.errors_weight
stationpar = sourcepar.station_parameters
# Magnitude
mag = Magnitude()
_id = config.smi_magnitude_template.replace('$SMI_BASE', config.smi_base)
_id = _id.replace('$ORIGIN_ID', origin_id_strip)
mag.resource_id = ResourceIdentifier(id=_id)
mag.method_id = ResourceIdentifier(id=method_id)
mag.origin_id = origin_id
mag.magnitude_type = 'Mw'
mag.mag = means['Mw']
mag_err = QuantityError()
mag_err.uncertainty = errors['Mw']
mag_err.confidence_level = 68.2
mag.mag_errors = mag_err
mag.station_count = len([_s for _s in stationpar.keys()])
mag.evaluation_mode = 'automatic'
mag.creation_info = cr_info
# Seismic moment -- It has to be stored in a MomentTensor object
# which, in turn, is part of a FocalMechanism object
mt = MomentTensor()
_id = config.smi_moment_tensor_template.replace('$SMI_BASE',
config.smi_base)
_id = _id.replace('$ORIGIN_ID', origin_id_strip)
mt.resource_id = ResourceIdentifier(id=_id)
mt.derived_origin_id = origin_id
mt.moment_magnitude_id = mag.resource_id
mt.scalar_moment = means['Mo']
mt_err = QuantityError()
mt_err.lower_uncertainty = errors['Mo'][0]
mt_err.upper_uncertainty = errors['Mo'][1]
mt_err.confidence_level = 68.2
mt.scalar_moment_errors = mt_err
mt.method_id = method_id
mt.creation_info = cr_info
# And here is the FocalMechanism object
fm = FocalMechanism()
_id = config.smi_focal_mechanism_template.replace('$SMI_BASE',
config.smi_base)
_id = _id.replace('$ORIGIN_ID', origin_id_strip)
fm.resource_id = ResourceIdentifier(id=_id)
fm.triggering_origin_id = origin_id
fm.method_id = ResourceIdentifier(id=method_id)
fm.moment_tensor = mt
fm.creation_info = cr_info
ev.focal_mechanisms.append(fm)
# Station magnitudes
for statId in sorted(stationpar.keys()):
par = stationpar[statId]
st_mag = StationMagnitude()
seed_id = statId.split()[0]
_id = config.smi_station_magnitude_template.replace(
'$SMI_MAGNITUDE_TEMPLATE', config.smi_magnitude_template)
_id = _id.replace('$ORIGIN_ID', origin_id_strip)
_id = _id.replace('$SMI_BASE', config.smi_base)
_id = _id.replace('$WAVEFORM_ID', seed_id)
st_mag.resource_id = ResourceIdentifier(id=_id)
st_mag.origin_id = origin_id
st_mag.mag = par['Mw']
st_mag.station_magnitude_type = 'Mw'
st_mag.method_id = mag.method_id
st_mag.creation_info = cr_info
st_mag.waveform_id = WaveformStreamID(seed_string=seed_id)
st_mag.extra = SSPExtra()
st_mag.extra.moment = SSPTag(par['Mo'])
st_mag.extra.corner_frequency = SSPTag(par['fc'])
st_mag.extra.t_star = SSPTag(par['t_star'])
ev.station_magnitudes.append(st_mag)
st_mag_contrib = StationMagnitudeContribution()
st_mag_contrib.station_magnitude_id = st_mag.resource_id
mag.station_magnitude_contributions.append(st_mag_contrib)
ev.magnitudes.append(mag)
# Write other average parameters as custom tags
ev.extra = SSPExtra()
ev.extra.corner_frequency = SSPContainerTag()
ev.extra.corner_frequency.value.value = SSPTag(means['fc'])
ev.extra.corner_frequency.value.lower_uncertainty =\
SSPTag(errors['fc'][0])
ev.extra.corner_frequency.value.upper_uncertainty =\
SSPTag(errors['fc'][1])
ev.extra.corner_frequency.value.confidence_level = SSPTag(68.2)
ev.extra.t_star = SSPContainerTag()
ev.extra.t_star.value.value = SSPTag(means['t_star'])
ev.extra.t_star.value.uncertainty = SSPTag(errors['t_star'])
ev.extra.t_star.value.confidence_level = SSPTag(68.2)
ev.extra.source_radius = SSPContainerTag()
ev.extra.source_radius.value.value = SSPTag(means['ra'])
ev.extra.source_radius.value.lower_uncertainty =\
SSPTag(errors['ra'][0])
ev.extra.source_radius.value.upper_uncertainty =\
SSPTag(errors['ra'][1])
ev.extra.source_radius.value.confidence_level = SSPTag(68.2)
ev.extra.stress_drop = SSPContainerTag()
ev.extra.stress_drop.value.value = SSPTag(means['bsd'])
ev.extra.stress_drop.value.lower_uncertainty =\
SSPTag(errors['bsd'][0])
ev.extra.stress_drop.value.upper_uncertainty =\
SSPTag(errors['bsd'][1])
ev.extra.stress_drop.value.confidence_level = SSPTag(68.2)
if config.set_preferred_magnitude:
ev.preferred_magnitude_id = mag.resource_id.id
qml_file_out = os.path.join(config.options.outdir, evid + '.xml')
ev.write(qml_file_out, format='QUAKEML')
logging.info('QuakeML file written to: ' + qml_file_out)
