# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
from __future__ import absolute_import, division
import sys
import time
import logging
import datetime
import calendar
import math
import copy
import numpy as num
from pyrocko.guts import (StringChoice, StringPattern, UnicodePattern, String,
Unicode, Int, Float, List, Object, Timestamp,
ValidationError, TBase, re_tz)
from pyrocko.guts import load_xml # noqa
import pyrocko.model
from pyrocko import trace, util
try:
newstr = unicode
except NameError:
newstr = str
guts_prefix = 'sx'
guts_xmlns = 'http://www.fdsn.org/xml/station/1'
logger = logging.getLogger('pyrocko.io.stationxml')
conversion = {
('M', 'M'): None,
('M/S', 'M'): trace.IntegrationResponse(1),
('M/S**2', 'M'): trace.IntegrationResponse(2),
('M', 'M/S'): trace.DifferentiationResponse(1),
('M/S', 'M/S'): None,
('M/S**2', 'M/S'): trace.IntegrationResponse(1),
('M', 'M/S**2'): trace.DifferentiationResponse(2),
('M/S', 'M/S**2'): trace.DifferentiationResponse(1),
('M/S**2', 'M/S**2'): None}
[docs]def wrap(s, width=80, indent=4):
words = s.split()
lines = []
t = []
n = 0
for w in words:
if n + len(w) >= width:
lines.append(' '.join(t))
n = indent
t = [' '*(indent-1)]
t.append(w)
n += len(w) + 1
lines.append(' '.join(t))
return '\n'.join(lines)
[docs]def same(x, eps=0.0):
if any(type(x[0]) != type(r) for r in x):
return False
if isinstance(x[0], float):
return all(abs(r-x[0]) <= eps for r in x)
else:
return all(r == x[0] for r in x)
[docs]def check_resp(resp, value, frequency, limit_db, prelude=''):
if not value or not frequency:
logger.warn('Cannot validate frequency response')
return
value_resp = num.abs(
resp.evaluate(num.array([frequency], dtype=num.float)))[0]
if value_resp == 0.0:
raise InconsistentResponseInformation(
'%s\n'
' computed response is zero' % prelude)
diff_db = 20.0 * num.log10(value_resp/value)
if num.abs(diff_db) > limit_db:
raise InconsistentResponseInformation(
'%s\n'
' reported value: %g\n'
' computed value: %g\n'
' at frequency [Hz]: %g\n'
' difference [dB]: %g\n'
' limit [dB]: %g' % (
prelude,
value,
value_resp,
frequency,
diff_db,
limit_db))
this_year = time.gmtime()[0]
[docs]class DummyAwareOptionalTimestamp(Object):
dummy_for = float
class __T(TBase):
def regularize_extra(self, val):
if isinstance(val, datetime.datetime):
tt = val.utctimetuple()
val = calendar.timegm(tt) + val.microsecond * 1e-6
elif isinstance(val, datetime.date):
tt = val.timetuple()
val = float(calendar.timegm(tt))
elif isinstance(val, (str, newstr)):
val = val.strip()
tz_offset = 0
m = re_tz.search(val)
if m:
sh = m.group(2)
sm = m.group(4)
tz_offset = (int(sh)*3600 if sh else 0) \
+ (int(sm)*60 if sm else 0)
val = re_tz.sub('', val)
if val[10] == 'T':
val = val.replace('T', ' ', 1)
try:
val = util.str_to_time(val) - tz_offset
except util.TimeStrError:
year = int(val[:4])
if sys.maxsize > 2**32: # if we're on 64bit
if year > this_year + 100:
return None # StationXML contained a dummy date
else: # 32bit end of time is in 2038
if this_year < 2037 and year > 2037 or year < 1903:
return None # StationXML contained a dummy date
raise
elif isinstance(val, int):
val = float(val)
else:
raise ValidationError(
'%s: cannot convert "%s" to float' % (self.xname(), val))
return val
def to_save(self, val):
return datetime.datetime.utcfromtimestamp(val)
def to_save_xml(self, val):
return datetime.datetime.utcfromtimestamp(val).isoformat() + 'Z'
[docs]class Nominal(StringChoice):
choices = [
'NOMINAL',
'CALCULATED']
[docs]class Email(UnicodePattern):
pattern = u'[\\w\\.\\-_]+@[\\w\\.\\-_]+'
[docs]class RestrictedStatus(StringChoice):
choices = [
'open',
'closed',
'partial']
[docs]class Type(StringChoice):
choices = [
'TRIGGERED',
'CONTINUOUS',
'HEALTH',
'GEOPHYSICAL',
'WEATHER',
'FLAG',
'SYNTHESIZED',
'INPUT',
'EXPERIMENTAL',
'MAINTENANCE',
'BEAM']
class __T(StringChoice.T):
def validate_extra(self, val):
if val not in self.choices:
logger.warn(
'channel type: "%s" is not a valid choice out of %s' %
(val, repr(self.choices)))
[docs]class PzTransferFunction(StringChoice):
choices = [
'LAPLACE (RADIANS/SECOND)',
'LAPLACE (HERTZ)',
'DIGITAL (Z-TRANSFORM)']
[docs]class Symmetry(StringChoice):
choices = [
'NONE',
'EVEN',
'ODD']
[docs]class CfTransferFunction(StringChoice):
class __T(StringChoice.T):
def validate(self, val, regularize=False, depth=-1):
if regularize:
try:
val = str(val)
except ValueError:
raise ValidationError(
'%s: cannot convert to string %s' % (self.xname,
repr(val)))
val = self.dummy_cls.replacements.get(val, val)
self.validate_extra(val)
return val
choices = [
'ANALOG (RADIANS/SECOND)',
'ANALOG (HERTZ)',
'DIGITAL']
replacements = {
'ANALOG (RAD/SEC)': 'ANALOG (RADIANS/SECOND)',
'ANALOG (HZ)': 'ANALOG (HERTZ)',
}
[docs]class Approximation(StringChoice):
choices = [
'MACLAURIN']
class PhoneNumber(StringPattern):
pattern = '[0-9]+-[0-9]+'
[docs]class Site(Object):
'''Description of a site location using name and optional
geopolitical boundaries (country, city, etc.).'''
name = Unicode.T(xmltagname='Name')
description = Unicode.T(optional=True, xmltagname='Description')
town = Unicode.T(optional=True, xmltagname='Town')
county = Unicode.T(optional=True, xmltagname='County')
region = Unicode.T(optional=True, xmltagname='Region')
country = Unicode.T(optional=True, xmltagname='Country')
[docs]class ExternalReference(Object):
'''This type contains a URI and description for external data that
users may want to reference in StationXML.'''
uri = String.T(xmltagname='URI')
description = Unicode.T(xmltagname='Description')
[docs]class Units(Object):
'''A type to document units. Corresponds to SEED blockette 34.'''
def __init__(self, name=None, **kwargs):
Object.__init__(self, name=name, **kwargs)
name = String.T(xmltagname='Name')
description = Unicode.T(optional=True, xmltagname='Description')
[docs]class Counter(Int):
pass
[docs]class SampleRateRatio(Object):
'''Sample rate expressed as number of samples in a number of
seconds.'''
number_samples = Int.T(xmltagname='NumberSamples')
number_seconds = Int.T(xmltagname='NumberSeconds')
[docs]class Gain(Object):
'''Complex type for sensitivity and frequency ranges. This complex
type can be used to represent both overall sensitivities and
individual stage gains. The FrequencyRangeGroup is an optional
construct that defines a pass band in Hertz ( FrequencyStart and
FrequencyEnd) in which the SensitivityValue is valid within the
number of decibels specified in FrequencyDBVariation.'''
def __init__(self, value=None, **kwargs):
Object.__init__(self, value=value, **kwargs)
value = Float.T(optional=True, xmltagname='Value')
frequency = Float.T(optional=True, xmltagname='Frequency')
[docs]class NumeratorCoefficient(Object):
i = Int.T(optional=True, xmlstyle='attribute')
value = Float.T(xmlstyle='content')
[docs]class FloatNoUnit(Object):
def __init__(self, value=None, **kwargs):
Object.__init__(self, value=value, **kwargs)
plus_error = Float.T(optional=True, xmlstyle='attribute')
minus_error = Float.T(optional=True, xmlstyle='attribute')
value = Float.T(xmlstyle='content')
[docs]class FloatWithUnit(FloatNoUnit):
unit = String.T(optional=True, xmlstyle='attribute')
[docs]class Equipment(Object):
resource_id = String.T(optional=True, xmlstyle='attribute')
type = String.T(optional=True, xmltagname='Type')
description = Unicode.T(optional=True, xmltagname='Description')
manufacturer = Unicode.T(optional=True, xmltagname='Manufacturer')
vendor = Unicode.T(optional=True, xmltagname='Vendor')
model = Unicode.T(optional=True, xmltagname='Model')
serial_number = String.T(optional=True, xmltagname='SerialNumber')
installation_date = DummyAwareOptionalTimestamp.T(
optional=True,
xmltagname='InstallationDate')
removal_date = DummyAwareOptionalTimestamp.T(
optional=True,
xmltagname='RemovalDate')
calibration_date_list = List.T(Timestamp.T(xmltagname='CalibrationDate'))
[docs]class PhoneNumber(Object):
description = Unicode.T(optional=True, xmlstyle='attribute')
country_code = Int.T(optional=True, xmltagname='CountryCode')
area_code = Int.T(xmltagname='AreaCode')
phone_number = PhoneNumber.T(xmltagname='PhoneNumber')
[docs]class BaseFilter(Object):
'''The BaseFilter is derived by all filters.'''
resource_id = String.T(optional=True, xmlstyle='attribute')
name = String.T(optional=True, xmlstyle='attribute')
description = Unicode.T(optional=True, xmltagname='Description')
input_units = Units.T(optional=True, xmltagname='InputUnits')
output_units = Units.T(optional=True, xmltagname='OutputUnits')
[docs]class Sensitivity(Gain):
'''Sensitivity and frequency ranges. The FrequencyRangeGroup is an
optional construct that defines a pass band in Hertz
(FrequencyStart and FrequencyEnd) in which the SensitivityValue is
valid within the number of decibels specified in
FrequencyDBVariation.'''
input_units = Units.T(optional=True, xmltagname='InputUnits')
output_units = Units.T(optional=True, xmltagname='OutputUnits')
frequency_start = Float.T(optional=True, xmltagname='FrequencyStart')
frequency_end = Float.T(optional=True, xmltagname='FrequencyEnd')
frequency_db_variation = Float.T(optional=True,
xmltagname='FrequencyDBVariation')
[docs]class Coefficient(FloatNoUnit):
number = Counter.T(optional=True, xmlstyle='attribute')
[docs]class PoleZero(Object):
'''Complex numbers used as poles or zeros in channel response.'''
number = Int.T(optional=True, xmlstyle='attribute')
real = FloatNoUnit.T(xmltagname='Real')
imaginary = FloatNoUnit.T(xmltagname='Imaginary')
[docs] def value(self):
return self.real.value + 1J * self.imaginary.value
[docs]class ClockDrift(FloatWithUnit):
unit = String.T(default='SECONDS/SAMPLE', optional=True,
xmlstyle='attribute') # fixed
[docs]class Second(FloatWithUnit):
'''A time value in seconds.'''
unit = String.T(default='SECONDS', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Voltage(FloatWithUnit):
unit = String.T(default='VOLTS', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Angle(FloatWithUnit):
unit = String.T(default='DEGREES', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Azimuth(FloatWithUnit):
'''Instrument azimuth, degrees clockwise from North.'''
unit = String.T(default='DEGREES', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Dip(FloatWithUnit):
'''Instrument dip in degrees down from horizontal. Together
azimuth and dip describe the direction of the sensitive axis of
the instrument.'''
unit = String.T(default='DEGREES', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Distance(FloatWithUnit):
'''Extension of FloatWithUnit for distances, elevations, and depths.'''
unit = String.T(default='METERS', optional=True, xmlstyle='attribute')
# NOT fixed unit!
[docs]class Frequency(FloatWithUnit):
unit = String.T(default='HERTZ', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class SampleRate(FloatWithUnit):
'''Sample rate in samples per second.'''
unit = String.T(default='SAMPLES/S', optional=True, xmlstyle='attribute')
# fixed unit
[docs]class Person(Object):
'''Representation of a person's contact information. A person can
belong to multiple agencies and have multiple email addresses and
phone numbers.'''
name_list = List.T(Unicode.T(xmltagname='Name'))
agency_list = List.T(Unicode.T(xmltagname='Agency'))
email_list = List.T(Email.T(xmltagname='Email'))
phone_list = List.T(PhoneNumber.T(xmltagname='Phone'))
[docs]class FIR(BaseFilter):
'''Response: FIR filter. Corresponds to SEED blockette 61. FIR
filters are also commonly documented using the Coefficients
element.'''
symmetry = Symmetry.T(xmltagname='Symmetry')
numerator_coefficient_list = List.T(
NumeratorCoefficient.T(xmltagname='NumeratorCoefficient'))
[docs]class Coefficients(BaseFilter):
'''Response: coefficients for FIR filter. Laplace transforms or
IIR filters can be expressed using type as well but the
PolesAndZeros should be used instead. Corresponds to SEED
blockette 54.'''
cf_transfer_function_type = CfTransferFunction.T(
xmltagname='CfTransferFunctionType')
numerator_list = List.T(FloatWithUnit.T(xmltagname='Numerator'))
denominator_list = List.T(FloatWithUnit.T(xmltagname='Denominator'))
[docs]class Latitude(FloatWithUnit):
'''Type for latitude coordinate.'''
unit = String.T(default='DEGREES', optional=True, xmlstyle='attribute')
# fixed unit
datum = String.T(default='WGS84', optional=True, xmlstyle='attribute')
[docs]class Longitude(FloatWithUnit):
'''Type for longitude coordinate.'''
unit = String.T(default='DEGREES', optional=True, xmlstyle='attribute')
# fixed unit
datum = String.T(default='WGS84', optional=True, xmlstyle='attribute')
[docs]class PolesZeros(BaseFilter):
'''Response: complex poles and zeros. Corresponds to SEED
blockette 53.'''
pz_transfer_function_type = PzTransferFunction.T(
xmltagname='PzTransferFunctionType')
normalization_factor = Float.T(default=1.0,
xmltagname='NormalizationFactor')
normalization_frequency = Frequency.T(xmltagname='NormalizationFrequency')
zero_list = List.T(PoleZero.T(xmltagname='Zero'))
pole_list = List.T(PoleZero.T(xmltagname='Pole'))
[docs] def get_pyrocko_response(self, nslc):
if self.pz_transfer_function_type == 'DIGITAL (Z-TRANSFORM)':
logger.warn(
'unhandled pole-zero response of type "DIGITAL (Z-TRANSFORM)" '
'(%s)' % '.'.join(nslc))
return []
if self.pz_transfer_function_type not in (
'LAPLACE (RADIANS/SECOND)',
'LAPLACE (HERTZ)'):
raise NoResponseInformation(
'cannot convert PoleZero response of type %s (%s)' %
(self.pz_transfer_function_type, '.'.join(nslc)))
factor = 1.0
cfactor = 1.0
if self.pz_transfer_function_type == 'LAPLACE (HERTZ)':
factor = 2. * math.pi
cfactor = (2. * math.pi)**(
len(self.pole_list) - len(self.zero_list))
if self.normalization_factor is None \
or self.normalization_factor == 0.0:
logger.warn(
'no pole-zero normalization factor given. Assuming a value of '
'1.0 (%s)' % '.'.join(nslc))
nfactor = 1.0
else:
nfactor = self.normalization_factor
resp = trace.PoleZeroResponse(
constant=nfactor*cfactor,
zeros=[z.value()*factor for z in self.zero_list],
poles=[p.value()*factor for p in self.pole_list])
if not self.normalization_frequency.value:
logger.warn(
'cannot check pole-zero normalization factor (%s)'
% '.'.join(nslc))
else:
computed_normalization_factor = nfactor / abs(
resp.evaluate(
num.array([self.normalization_frequency.value]))[0])
db = 20.0 * num.log10(
computed_normalization_factor / nfactor)
if abs(db) > 0.17:
logger.warn(
'computed and reported normalization factors differ by '
'%g dB: computed: %g, reported: %g (%s)' % (
db,
computed_normalization_factor,
nfactor,
'.'.join(nslc)))
return [resp]
[docs]class ResponseListElement(Object):
frequency = Frequency.T(xmltagname='Frequency')
amplitude = FloatWithUnit.T(xmltagname='Amplitude')
phase = Angle.T(xmltagname='Phase')
[docs]class Polynomial(BaseFilter):
'''Response: expressed as a polynomial (allows non-linear sensors
to be described). Corresponds to SEED blockette 62. Can be used to
describe a stage of acquisition or a complete system.'''
approximation_type = Approximation.T(default='MACLAURIN',
xmltagname='ApproximationType')
frequency_lower_bound = Frequency.T(xmltagname='FrequencyLowerBound')
frequency_upper_bound = Frequency.T(xmltagname='FrequencyUpperBound')
approximation_lower_bound = Float.T(xmltagname='ApproximationLowerBound')
approximation_upper_bound = Float.T(xmltagname='ApproximationUpperBound')
maximum_error = Float.T(xmltagname='MaximumError')
coefficient_list = List.T(Coefficient.T(xmltagname='Coefficient'))
[docs]class Decimation(Object):
'''Corresponds to SEED blockette 57.'''
input_sample_rate = Frequency.T(xmltagname='InputSampleRate')
factor = Int.T(xmltagname='Factor')
offset = Int.T(xmltagname='Offset')
delay = FloatWithUnit.T(xmltagname='Delay')
correction = FloatWithUnit.T(xmltagname='Correction')
[docs]class Operator(Object):
agency_list = List.T(Unicode.T(xmltagname='Agency'))
contact_list = List.T(Person.T(xmltagname='Contact'))
web_site = String.T(optional=True, xmltagname='WebSite')
[docs]class ResponseList(BaseFilter):
'''Response: list of frequency, amplitude and phase values.
Corresponds to SEED blockette 55.'''
response_list_element_list = List.T(
ResponseListElement.T(xmltagname='ResponseListElement'))
[docs]class Log(Object):
'''Container for log entries.'''
entry_list = List.T(Comment.T(xmltagname='Entry'))
[docs]class ResponseStage(Object):
'''This complex type represents channel response and covers SEED
blockettes 53 to 56.'''
number = Counter.T(xmlstyle='attribute')
resource_id = String.T(optional=True, xmlstyle='attribute')
poles_zeros_list = List.T(
PolesZeros.T(optional=True, xmltagname='PolesZeros'))
coefficients_list = List.T(
Coefficients.T(optional=True, xmltagname='Coefficients'))
response_list = ResponseList.T(optional=True, xmltagname='ResponseList')
fir = FIR.T(optional=True, xmltagname='FIR')
polynomial = Polynomial.T(optional=True, xmltagname='Polynomial')
decimation = Decimation.T(optional=True, xmltagname='Decimation')
stage_gain = Gain.T(optional=True, xmltagname='StageGain')
[docs] def get_pyrocko_response(self, nslc):
responses = []
for pzs in self.poles_zeros_list:
responses.extend(pzs.get_pyrocko_response(nslc))
if len(self.poles_zeros_list) > 1:
logger.warn(
'multiple poles and zeros records in single response stage '
'(%s.%s.%s.%s)' % nslc)
if (self.coefficients_list or
self.response_list or
self.fir or
self.polynomial):
logger.debug('unhandled response at stage %i' % self.number)
if self.stage_gain:
responses.append(
trace.PoleZeroResponse(constant=self.stage_gain.value))
return responses
@property
def input_units(self):
for e in (self.poles_zeros_list + self.coefficients_list +
[self.response_list, self.fir, self.polynomial]):
if e is not None:
return e.input_units
@property
def output_units(self):
for e in (self.poles_zeros_list + self.coefficients_list +
[self.response_list, self.fir, self.polynomial]):
if e is not None:
return e.output_units
[docs]class Response(Object):
resource_id = String.T(optional=True, xmlstyle='attribute')
instrument_sensitivity = Sensitivity.T(optional=True,
xmltagname='InstrumentSensitivity')
instrument_polynomial = Polynomial.T(optional=True,
xmltagname='InstrumentPolynomial')
stage_list = List.T(ResponseStage.T(xmltagname='Stage'))
[docs] def get_pyrocko_response(self, nslc, fake_input_units=None):
responses = []
for stage in self.stage_list:
responses.extend(stage.get_pyrocko_response(nslc))
if not self.stage_list and self.instrument_sensitivity:
responses.append(
trace.PoleZeroResponse(
constant=self.instrument_sensitivity.value))
if self.instrument_sensitivity:
trial = trace.MultiplyResponse(responses)
sval = self.instrument_sensitivity.value
sfreq = self.instrument_sensitivity.frequency
try:
check_resp(
trial, sval, sfreq, 0.1,
prelude='Instrument sensitivity value inconsistent with '
'sensitivity computed from complete response\n'
' channel: %s' % '.'.join(nslc))
except InconsistentResponseInformation as e:
logger.warn(str(e))
if fake_input_units is not None:
if not self.instrument_sensitivity or \
self.instrument_sensitivity.input_units is None:
raise NoResponseInformation('no input units given')
input_units = self.instrument_sensitivity.input_units.name
try:
conresp = conversion[
fake_input_units.upper(), input_units.upper()]
except KeyError:
raise NoResponseInformation(
'cannot convert between units: %s, %s'
% (fake_input_units, input_units))
if conresp is not None:
responses.append(conresp)
return trace.MultiplyResponse(responses)
[docs] @classmethod
def from_pyrocko_pz_response(cls, presponse, input_unit, output_unit,
normalization_frequency=1.0):
norm_factor = 1.0/float(abs(
presponse.evaluate(num.array([normalization_frequency]))[0]
/ presponse.constant))
pzs = PolesZeros(
pz_transfer_function_type='LAPLACE (RADIANS/SECOND)',
normalization_factor=norm_factor,
normalization_frequency=Frequency(normalization_frequency),
zero_list=[PoleZero(real=FloatNoUnit(z.real),
imaginary=FloatNoUnit(z.imag))
for z in presponse.zeros],
pole_list=[PoleZero(real=FloatNoUnit(z.real),
imaginary=FloatNoUnit(z.imag))
for z in presponse.poles])
pzs.validate()
stage = ResponseStage(
number=1,
poles_zeros_list=[pzs],
stage_gain=Gain(float(abs(presponse.constant))/norm_factor))
resp = Response(
instrument_sensitivity=Sensitivity(
value=stage.stage_gain.value,
input_units=Units(input_unit),
output_units=Units(output_unit)),
stage_list=[stage])
return resp
[docs]class BaseNode(Object):
'''A base node type for derivation from: Network, Station and
Channel types.'''
code = String.T(xmlstyle='attribute')
start_date = DummyAwareOptionalTimestamp.T(optional=True,
xmlstyle='attribute')
end_date = DummyAwareOptionalTimestamp.T(optional=True,
xmlstyle='attribute')
restricted_status = RestrictedStatus.T(optional=True, xmlstyle='attribute')
alternate_code = String.T(optional=True, xmlstyle='attribute')
historical_code = String.T(optional=True, xmlstyle='attribute')
description = Unicode.T(optional=True, xmltagname='Description')
comment_list = List.T(Comment.T(xmltagname='Comment'))
[docs] def spans(self, *args):
if len(args) == 0:
return True
elif len(args) == 1:
return ((self.start_date is None or
self.start_date <= args[0]) and
(self.end_date is None or
args[0] <= self.end_date))
elif len(args) == 2:
return ((self.start_date is None or
args[1] >= self.start_date) and
(self.end_date is None or
self.end_date >= args[0]))
[docs]class Channel(BaseNode):
'''Equivalent to SEED blockette 52 and parent element for the
related the response blockettes.'''
location_code = String.T(xmlstyle='attribute')
external_reference_list = List.T(
ExternalReference.T(xmltagname='ExternalReference'))
latitude = Latitude.T(xmltagname='Latitude')
longitude = Longitude.T(xmltagname='Longitude')
elevation = Distance.T(xmltagname='Elevation')
depth = Distance.T(xmltagname='Depth')
azimuth = Azimuth.T(optional=True, xmltagname='Azimuth')
dip = Dip.T(optional=True, xmltagname='Dip')
type_list = List.T(Type.T(xmltagname='Type'))
sample_rate = SampleRate.T(optional=True, xmltagname='SampleRate')
sample_rate_ratio = SampleRateRatio.T(optional=True,
xmltagname='SampleRateRatio')
storage_format = String.T(optional=True, xmltagname='StorageFormat')
clock_drift = ClockDrift.T(optional=True, xmltagname='ClockDrift')
calibration_units = Units.T(optional=True, xmltagname='CalibrationUnits')
sensor = Equipment.T(optional=True, xmltagname='Sensor')
pre_amplifier = Equipment.T(optional=True, xmltagname='PreAmplifier')
data_logger = Equipment.T(optional=True, xmltagname='DataLogger')
equipment = Equipment.T(optional=True, xmltagname='Equipment')
response = Response.T(optional=True, xmltagname='Response')
@property
def position_values(self):
lat = self.latitude.value
lon = self.longitude.value
elevation = value_or_none(self.elevation)
depth = value_or_none(self.depth)
return lat, lon, elevation, depth
[docs]class Station(BaseNode):
'''This type represents a Station epoch. It is common to only have
a single station epoch with the station's creation and termination
dates as the epoch start and end dates.'''
latitude = Latitude.T(xmltagname='Latitude')
longitude = Longitude.T(xmltagname='Longitude')
elevation = Distance.T(xmltagname='Elevation')
site = Site.T(optional=True, xmltagname='Site')
vault = Unicode.T(optional=True, xmltagname='Vault')
geology = Unicode.T(optional=True, xmltagname='Geology')
equipment_list = List.T(Equipment.T(xmltagname='Equipment'))
operator_list = List.T(Operator.T(xmltagname='Operator'))
creation_date = DummyAwareOptionalTimestamp.T(
optional=True, xmltagname='CreationDate')
termination_date = DummyAwareOptionalTimestamp.T(
optional=True, xmltagname='TerminationDate')
total_number_channels = Counter.T(
optional=True, xmltagname='TotalNumberChannels')
selected_number_channels = Counter.T(
optional=True, xmltagname='SelectedNumberChannels')
external_reference_list = List.T(
ExternalReference.T(xmltagname='ExternalReference'))
channel_list = List.T(Channel.T(xmltagname='Channel'))
@property
def position_values(self):
lat = self.latitude.value
lon = self.longitude.value
elevation = value_or_none(self.elevation)
return lat, lon, elevation
[docs]class Network(BaseNode):
'''This type represents the Network layer, all station metadata is
contained within this element. The official name of the network or
other descriptive information can be included in the Description
element. The Network can contain 0 or more Stations.'''
total_number_stations = Counter.T(optional=True,
xmltagname='TotalNumberStations')
selected_number_stations = Counter.T(optional=True,
xmltagname='SelectedNumberStations')
station_list = List.T(Station.T(xmltagname='Station'))
@property
def station_code_list(self):
return sorted(set(s.code for s in self.station_list))
@property
def sl_code_list(self):
sls = set()
for station in self.station_list:
for channel in station.channel_list:
sls.add((station.code, channel.location_code))
return sorted(sls)
[docs] def summary(self, width=80, indent=4):
sls = self.sl_code_list or [(x,) for x in self.station_code_list]
lines = ['%s (%i):' % (self.code, len(sls))]
if sls:
ssls = ['.'.join(x for x in c if x) for c in sls]
w = max(len(x) for x in ssls)
n = (width - indent) / (w+1)
while ssls:
lines.append(
' ' * indent + ' '.join(x.ljust(w) for x in ssls[:n]))
ssls[:n] = []
return '\n'.join(lines)
[docs]def value_or_none(x):
if x is not None:
return x.value
else:
return None
[docs]def pyrocko_station_from_channels(nsl, channels, inconsistencies='warn'):
pos = lat, lon, elevation, depth = \
channels[0].position_values
if not all(pos == x.position_values for x in channels):
info = '\n'.join(
' %s: %s' % (x.code, x.position_values) for
x in channels)
mess = 'encountered inconsistencies in channel ' \
'lat/lon/elevation/depth ' \
'for %s.%s.%s: \n%s' % (nsl + (info,))
if inconsistencies == 'raise':
raise InconsistentChannelLocations(mess)
elif inconsistencies == 'warn':
logger.warn(mess)
logger.warn(' -> using mean values')
apos = num.array([x.position_values for x in channels], dtype=num.float)
mlat, mlon, mele, mdep = num.nansum(apos, axis=0) \
/ num.sum(num.isfinite(apos), axis=0)
groups = {}
for channel in channels:
if channel.code not in groups:
groups[channel.code] = []
groups[channel.code].append(channel)
pchannels = []
for code in sorted(groups.keys()):
data = [
(channel.code, value_or_none(channel.azimuth),
value_or_none(channel.dip))
for channel in groups[code]]
azimuth, dip = util.consistency_merge(
data,
message='channel orientation values differ:',
error=inconsistencies)
pchannels.append(
pyrocko.model.Channel(code, azimuth=azimuth, dip=dip))
return pyrocko.model.Station(
*nsl,
lat=mlat,
lon=mlon,
elevation=mele,
depth=mdep,
channels=pchannels)
[docs]class FDSNStationXML(Object):
'''Top-level type for Station XML. Required field are Source
(network ID of the institution sending the message) and one or
more Network containers or one or more Station containers.'''
schema_version = Float.T(default=1.0, xmlstyle='attribute')
source = String.T(xmltagname='Source')
sender = String.T(optional=True, xmltagname='Sender')
module = String.T(optional=True, xmltagname='Module')
module_uri = String.T(optional=True, xmltagname='ModuleURI')
created = Timestamp.T(xmltagname='Created')
network_list = List.T(Network.T(xmltagname='Network'))
xmltagname = 'FDSNStationXML'
guessable_xmlns = [guts_xmlns]
[docs] def get_pyrocko_stations(self, nslcs=None, nsls=None,
time=None, timespan=None,
inconsistencies='warn'):
assert inconsistencies in ('raise', 'warn')
if nslcs is not None:
nslcs = set(nslcs)
if nsls is not None:
nsls = set(nsls)
tt = ()
if time is not None:
tt = (time,)
elif timespan is not None:
tt = timespan
pstations = []
for network in self.network_list:
if not network.spans(*tt):
continue
for station in network.station_list:
if not station.spans(*tt):
continue
if station.channel_list:
loc_to_channels = {}
for channel in station.channel_list:
if not channel.spans(*tt):
continue
loc = channel.location_code.strip()
if loc not in loc_to_channels:
loc_to_channels[loc] = []
loc_to_channels[loc].append(channel)
for loc in sorted(loc_to_channels.keys()):
channels = loc_to_channels[loc]
if nslcs is not None:
channels = [channel for channel in channels
if (network.code, station.code, loc,
channel.code) in nslcs]
if not channels:
continue
nsl = network.code, station.code, loc
if nsls is not None and nsl not in nsls:
continue
pstations.append(
pyrocko_station_from_channels(
nsl,
channels,
inconsistencies=inconsistencies))
else:
pstations.append(pyrocko.model.Station(
network.code, station.code, '*',
lat=station.latitude.value,
lon=station.longitude.value,
elevation=value_or_none(station.elevation),
name=station.description or ''))
return pstations
[docs] @classmethod
def from_pyrocko_stations(
cls, pyrocko_stations, add_flat_responses_from=None):
''' Generate :py:class:`FDSNStationXML` from list of
:py:class;`pyrocko.model.Station` instances.
:param pyrocko_stations: list of :py:class;`pyrocko.model.Station`
instances.
:param add_flat_responses_from: unit, 'M', 'M/S' or 'M/S**2'
'''
from collections import defaultdict
network_dict = defaultdict(list)
if add_flat_responses_from:
assert add_flat_responses_from in ('M', 'M/S', 'M/S**2')
extra = dict(
response=Response(
instrument_sensitivity=Sensitivity(
value=1.0,
frequency=1.0,
input_units=Units(name=add_flat_responses_from))))
else:
extra = {}
have_offsets = set()
for s in pyrocko_stations:
if s.north_shift != 0.0 or s.east_shift != 0.0:
have_offsets.add(s.nsl())
network, station, location = s.nsl()
channel_list = []
for c in s.channels:
channel_list.append(
Channel(
location_code=location,
code=c.name,
latitude=Latitude(value=s.effective_lat),
longitude=Longitude(value=s.effective_lon),
elevation=Distance(value=s.elevation),
depth=Distance(value=s.depth),
azimuth=Azimuth(value=c.azimuth),
dip=Dip(value=c.dip),
**extra
)
)
network_dict[network].append(
Station(
code=station,
latitude=Latitude(value=s.effective_lat),
longitude=Longitude(value=s.effective_lon),
elevation=Distance(value=s.elevation),
channel_list=channel_list)
)
if have_offsets:
logger.warn(
'StationXML does not support Cartesian offsets in '
'coordinates. Storing effective lat/lon for stations: %s' %
', '.join('.'.join(nsl) for nsl in sorted(have_offsets)))
timestamp = time.time()
network_list = []
for k, station_list in network_dict.items():
network_list.append(
Network(
code=k, station_list=station_list,
total_number_stations=len(station_list)))
sxml = FDSNStationXML(
source='from pyrocko stations list', created=timestamp,
network_list=network_list)
sxml.validate()
return sxml
[docs] def iter_network_stations(
self, net=None, sta=None, time=None, timespan=None):
tt = ()
if time is not None:
tt = (time,)
elif timespan is not None:
tt = timespan
for network in self.network_list:
if not network.spans(*tt) or (
net is not None and network.code != net):
continue
for station in network.station_list:
if not station.spans(*tt) or (
sta is not None and station.code != sta):
continue
yield (network, station)
[docs] def iter_network_station_channels(
self, net=None, sta=None, loc=None, cha=None,
time=None, timespan=None):
if loc is not None:
loc = loc.strip()
tt = ()
if time is not None:
tt = (time,)
elif timespan is not None:
tt = timespan
for network in self.network_list:
if not network.spans(*tt) or (
net is not None and network.code != net):
continue
for station in network.station_list:
if not station.spans(*tt) or (
sta is not None and station.code != sta):
continue
if station.channel_list:
for channel in station.channel_list:
if (not channel.spans(*tt) or
(cha is not None and channel.code != cha) or
(loc is not None and
channel.location_code.strip() != loc)):
continue
yield (network, station, channel)
[docs] def get_channel_groups(self, net=None, sta=None, loc=None, cha=None,
time=None, timespan=None):
groups = {}
for network, station, channel in self.iter_network_station_channels(
net, sta, loc, cha, time=time, timespan=timespan):
net = network.code
sta = station.code
cha = channel.code
loc = channel.location_code.strip()
if len(cha) == 3:
bic = cha[:2] # band and intrument code according to SEED
elif len(cha) == 1:
bic = ''
else:
bic = cha
if channel.response and \
channel.response.instrument_sensitivity and \
channel.response.instrument_sensitivity.input_units:
unit = channel.response.instrument_sensitivity.input_units.name
else:
unit = None
bic = (bic, unit)
k = net, sta, loc
if k not in groups:
groups[k] = {}
if bic not in groups[k]:
groups[k][bic] = []
groups[k][bic].append(channel)
for nsl, bic_to_channels in groups.items():
bad_bics = []
for bic, channels in bic_to_channels.items():
sample_rates = []
for channel in channels:
sample_rates.append(channel.sample_rate.value)
if not same(sample_rates):
scs = ','.join(channel.code for channel in channels)
srs = ', '.join('%e' % x for x in sample_rates)
err = 'ignoring channels with inconsistent sampling ' + \
'rates (%s.%s.%s.%s: %s)' % (nsl + (scs, srs))
logger.warn(err)
bad_bics.append(bic)
for bic in bad_bics:
del bic_to_channels[bic]
return groups
[docs] def choose_channels(
self,
target_sample_rate=None,
priority_band_code=['H', 'B', 'M', 'L', 'V', 'E', 'S'],
priority_units=['M/S', 'M/S**2'],
priority_instrument_code=['H', 'L'],
time=None,
timespan=None):
nslcs = {}
for nsl, bic_to_channels in self.get_channel_groups(
time=time, timespan=timespan).items():
useful_bics = []
for bic, channels in bic_to_channels.items():
rate = channels[0].sample_rate.value
if target_sample_rate is not None and \
rate < target_sample_rate*0.99999:
continue
if len(bic[0]) == 2:
if bic[0][0] not in priority_band_code:
continue
if bic[0][1] not in priority_instrument_code:
continue
unit = bic[1]
prio_unit = len(priority_units)
try:
prio_unit = priority_units.index(unit)
except ValueError:
pass
prio_inst = len(priority_instrument_code)
prio_band = len(priority_band_code)
if len(channels[0].code) == 3:
try:
prio_inst = priority_instrument_code.index(
channels[0].code[1])
except ValueError:
pass
try:
prio_band = priority_band_code.index(
channels[0].code[0])
except ValueError:
pass
if target_sample_rate is None:
rate = -rate
useful_bics.append((-len(channels), prio_band, rate, prio_unit,
prio_inst, bic))
useful_bics.sort()
for _, _, rate, _, _, bic in useful_bics:
channels = sorted(
bic_to_channels[bic],
key=lambda channel: channel.code)
if channels:
for channel in channels:
nslcs[nsl + (channel.code,)] = channel
break
return nslcs
[docs] def get_pyrocko_response(
self, nslc, time=None, timespan=None, fake_input_units=None):
net, sta, loc, cha = nslc
resps = []
for _, _, channel in self.iter_network_station_channels(
net, sta, loc, cha, time=time, timespan=timespan):
resp = channel.response
if resp:
resps.append(resp.get_pyrocko_response(
nslc, fake_input_units=fake_input_units))
if not resps:
raise NoResponseInformation('%s.%s.%s.%s' % nslc)
elif len(resps) > 1:
raise MultipleResponseInformation('%s.%s.%s.%s' % nslc)
return resps[0]
@property
def n_code_list(self):
return sorted(set(x.code for x in self.network_list))
@property
def ns_code_list(self):
nss = set()
for network in self.network_list:
for station in network.station_list:
nss.add((network.code, station.code))
return sorted(nss)
@property
def nsl_code_list(self):
nsls = set()
for network in self.network_list:
for station in network.station_list:
for channel in station.channel_list:
nsls.add(
(network.code, station.code, channel.location_code))
return sorted(nsls)
@property
def nslc_code_list(self):
nslcs = set()
for network in self.network_list:
for station in network.station_list:
for channel in station.channel_list:
nslcs.add(
(network.code, station.code, channel.location_code,
channel.code))
return sorted(nslcs)
[docs] def summary(self):
lst = [
'number of n codes: %i' % len(self.n_code_list),
'number of ns codes: %i' % len(self.ns_code_list),
'number of nsl codes: %i' % len(self.nsl_code_list),
'number of nslc codes: %i' % len(self.nslc_code_list)
]
return '\n'.join(lst)
[docs]class InconsistentChannelLocations(Exception):
pass
[docs]class InvalidRecord(Exception):
def __init__(self, line):
Exception.__init__(self)
self._line = line
def __str__(self):
return 'Invalid record: "%s"' % self._line
[docs]def load_channel_table(stream):
networks = {}
stations = {}
for line in stream:
line = str(line.decode('ascii'))
if line.startswith('#'):
continue
t = line.rstrip().split('|')
if len(t) != 17:
logger.warn('Invalid channel record: %s' % line)
continue
(net, sta, loc, cha, lat, lon, ele, dep, azi, dip, sens, scale,
scale_freq, scale_units, sample_rate, start_date, end_date) = t
try:
scale = float(scale)
except ValueError:
scale = None
try:
scale_freq = float(scale_freq)
except ValueError:
scale_freq = None
try:
depth = float(dep)
except ValueError:
depth = 0.0
try:
azi = float(azi)
dip = float(dip)
except ValueError:
azi = None
dip = None
try:
if net not in networks:
network = Network(code=net)
else:
network = networks[net]
if (net, sta) not in stations:
station = Station(
code=sta, latitude=lat, longitude=lon, elevation=ele)
station.regularize()
else:
station = stations[net, sta]
if scale:
resp = Response(
instrument_sensitivity=Sensitivity(
value=scale,
frequency=scale_freq,
input_units=scale_units))
else:
resp = None
channel = Channel(
code=cha,
location_code=loc.strip(),
latitude=lat,
longitude=lon,
elevation=ele,
depth=depth,
azimuth=azi,
dip=dip,
sensor=Equipment(description=sens),
response=resp,
sample_rate=sample_rate,
start_date=start_date,
end_date=end_date or None)
channel.regularize()
except ValidationError:
raise InvalidRecord(line)
if net not in networks:
networks[net] = network
if (net, sta) not in stations:
stations[net, sta] = station
network.station_list.append(station)
station.channel_list.append(channel)
return FDSNStationXML(
source='created from table input',
created=time.time(),
network_list=sorted(networks.values(), key=lambda x: x.code))
[docs]def primitive_merge(sxs):
networks = []
for sx in sxs:
networks.extend(sx.network_list)
return FDSNStationXML(
source='merged from different sources',
created=time.time(),
network_list=copy.deepcopy(
sorted(networks, key=lambda x: x.code)))
