#!/usr/bin/python # -*- coding: utf-8 -*- from __future__ import print_function import argparse import glob import os from obspy import read_events import pylot.core.loc.hsat as hsat import pylot.core.loc.nll as nll from pylot.core.analysis.magnitude import MomentMagnitude, RichterMagnitude from pylot.core.io.data import Data from pylot.core.io.inputs import AutoPickParameter from pylot.core.io.phases import add_amplitudes from pylot.core.pick.autopick import autopickevent, iteratepicker from pylot.core.util.dataprocessing import restitute_data, read_metadata from pylot.core.util.structure import DATASTRUCTURE from pylot.core.util.version import get_git_version as _getVersionString __version__ = _getVersionString() def autoPyLoT(inputfile): """ Determine phase onsets automatically utilizing the automatic picking algorithms by Kueperkoch et al. 2010/2012. :param inputfile: path to the input file containing all parameter information for automatic picking (for formatting details, see. `~pylot.core.io.inputs.AutoPickParameter` :type inputfile: str :return: .. rubric:: Example """ splash = '''************************************\n *********autoPyLoT starting*********\n The Python picking and Location Tool\n Version {version} 2015\n \n Authors:\n S. Wehling-Benatelli (Ruhr-Universität Bochum)\n L. Küperkoch (BESTEC GmbH, Landau i. d. Pfalz)\n K. Olbert (Christian-Albrechts Universität zu Kiel)\n ***********************************'''.format(version=_getVersionString()) print(splash) # reading parameter file parameter = AutoPickParameter(inputfile) data = Data() evt = None # getting information on data structure if parameter.hasParam('datastructure'): datastructure = DATASTRUCTURE[parameter.get('datastructure')]() dsfields = {'root': parameter.get('rootpath'), 'dpath': parameter.get('datapath'), 'dbase': parameter.get('database')} exf = ['root', 'dpath', 'dbase'] if parameter.hasParam('eventID'): dsfields['eventID'] = parameter.get('eventID') exf.append('eventID') datastructure.modifyFields(**dsfields) datastructure.setExpandFields(exf) # check if default location routine NLLoc is available if parameter.hasParam('nllocbin'): locflag = 1 # get NLLoc-root path nllocroot = parameter.get('nllocroot') # get path to NLLoc executable nllocbin = parameter.get('nllocbin') nlloccall = '%s/NLLoc' % nllocbin # get name of phase file phasef = parameter.get('phasefile') phasefile = '%s/obs/%s' % (nllocroot, phasef) # get name of NLLoc-control file ctrf = parameter.get('ctrfile') ctrfile = '%s/run/%s' % (nllocroot, ctrf) # pattern of NLLoc ttimes from location grid ttpat = parameter.get('ttpatter') # pattern of NLLoc-output file nllocoutpatter = parameter.get('outpatter') maxnumit = 3 # maximum number of iterations for re-picking else: locflag = 0 print(" !!! ") print("!!No location routine available, autoPyLoT is running in non-location mode!!") print("!!No source parameter estimation possible!!") print(" !!! ") datapath = datastructure.expandDataPath() if not parameter.hasParam('eventID'): # multiple event processing # read each event in database events = [events for events in glob.glob(os.path.join(datapath, '*')) if os.path.isdir(events)] else: # single event processing events = glob.glob(os.path.join(datapath, parameter.get('eventID'))) for event in events: data.setWFData(glob.glob(os.path.join(datapath, event, '*'))) evID = os.path.split(event)[-1] print('Working on event %s' % event) print(data) wfdat = data.getWFData() # all available streams metadata = read_metadata(parameter.get('invdir')) corr_dat, rest_flag = restitute_data(wfdat.copy(), *metadata) ########################################################## # !automated picking starts here! picks = autopickevent(wfdat, parameter) ########################################################## # locating if locflag == 1: # write phases to NLLoc-phase file nll.export(picks, phasefile) # For locating the event the NLLoc-control file has to be modified! nllocout = '%s_%s' % (evID, nllocoutpatter) # create comment line for NLLoc-control file nll.modify_inputs(ctrf, nllocroot, nllocout, phasef, ttpat) # locate the event nll.locate(ctrfile) # !iterative picking if traces remained unpicked or occupied with bad picks! # get theoretical onset times for picks with weights >= 4 # in order to reprocess them using smaller time windows around theoretical onset # get stations with bad onsets badpicks = [] for key in picks: if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4: badpicks.append([key, picks[key]['P']['mpp']]) # TODO keep code DRY (Don't Repeat Yourself) the following part is written twice # suggestion: delete block and modify the later similar block to work properly if len(badpicks) == 0: print("autoPyLoT: No bad onsets found, thus no iterative picking necessary!") # get NLLoc-location file locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout) if len(glob.glob(locsearch)) > 0: # get latest NLLoc-location file if several are available nllocfile = max(glob.glob(locsearch), key=os.path.getctime) evt = read_events(nllocfile) # calculating seismic moment Mo and moment magnitude Mw moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'), parameter.get('Qp'), parameter.get('rho'), True, 2) local_mag = RichterMagnitude(corr_dat, evt, parameter.get('sstop'), True, 2) for station, amplitude in local_mag.amplitudes: picks[station]['S']['Ao'] = amplitude evt = add_amplitudes(evt, local_mag.amplitudes) netML = local_mag.net_magnitude() netMw = moment_mag.net_magnitude() evt.origins[0].magnitudes.append(netMw) evt.origins[0].magnitudes.append(netML) else: print("autoPyLoT: No NLLoc-location file available!") print("No source parameter estimation possible!") else: # get theoretical P-onset times from NLLoc-location file locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout) if len(glob.glob(locsearch)) > 0: # get latest file if several are available nllocfile = max(glob.glob(locsearch), key=os.path.getctime) nlloccounter = 0 while len(badpicks) > 0 and nlloccounter <= maxnumit: nlloccounter += 1 if nlloccounter > maxnumit: print("autoPyLoT: Number of maximum iterations reached, stop iterative picking!") break print("autoPyLoT: Starting with iteration No. %d ..." % nlloccounter) picks = iteratepicker(wfdat, nllocfile, picks, badpicks, parameter) # write phases to NLLoc-phase file nll.export(picks, phasefile) # remove actual NLLoc-location file to keep only the last os.remove(nllocfile) # locate the event nll.locate(ctrfile) print("autoPyLoT: Iteration No. %d finished." % nlloccounter) # get updated NLLoc-location file nllocfile = max(glob.glob(locsearch), key=os.path.getctime) # check for bad picks badpicks = [] for key in picks: if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4: badpicks.append([key, picks[key]['P']['mpp']]) print("autoPyLoT: After iteration No. %d: %d bad onsets found ..." % (nlloccounter, \ len(badpicks))) if len(badpicks) == 0: print("autoPyLoT: No more bad onsets found, stop iterative picking!") nlloccounter = maxnumit evt = read_events(nllocfile) # calculating seismic moment Mo and moment magnitude Mw moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'), parameter.get('Qp'), parameter.get('rho'), True, 2) local_mag = RichterMagnitude(corr_dat, evt, parameter.get('sstop'), True, 2) for station, amplitude in local_mag.amplitudes: picks[station]['S']['Ao'] = amplitude evt = add_amplitudes(evt, local_mag.amplitudes) netML = local_mag.net_magnitude() # get network moment magntiude netMw = moment_mag.net_magnitude() evt.origins[0].magnitudes.append(netMw) evt.origins[0].magnitudes.append(netML) print("Network moment magnitude: %4.1f" % netMw.mag) else: print("autoPyLoT: No NLLoc-location file available! Stop iteration!") ########################################################## # write phase files for various location routines # HYPO71 hypo71file = '%s/autoPyLoT_HYPO71.pha' % event hsat.export(picks, hypo71file) data.applyEVTData(picks) if evt is not None: data.applyEVTData(evt, 'event') fnqml = '%s/autoPyLoT' % event data.exportEvent(fnqml) endsplash = '''------------------------------------------\n' -----Finished event %s!-----\n' ------------------------------------------'''.format \ (version=_getVersionString()) % evID print(endsplash) if locflag == 0: print("autoPyLoT was running in non-location mode!") endsp = '''####################################\n ************************************\n *********autoPyLoT terminates*******\n The Python picking and Location Tool\n ************************************'''.format(version=_getVersionString()) print(endsp) if __name__ == "__main__": from pylot.core.util.defaults import AUTOMATIC_DEFAULTS # parse arguments parser = argparse.ArgumentParser( description='''autoPyLoT automatically picks phase onset times using higher order statistics, autoregressive prediction and AIC''') parser.add_argument('-i', '-I', '--inputfile', type=str, action='store', help='''full path to the file containing the input parameters for autoPyLoT''', default=AUTOMATIC_DEFAULTS ) parser.add_argument('-v', '-V', '--version', action='version', version='autoPyLoT ' + __version__, help='show version information and exit') cla = parser.parse_args() autoPyLoT(str(cla.inputfile))