127 lines
4.7 KiB
Python
Executable File
127 lines
4.7 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import argparse
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import glob
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import matplotlib.pyplot as plt
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from obspy.core import read
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from pylot.core.util import _getVersionString
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from pylot.core.read import Data, AutoPickParameter
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from pylot.core.pick.run_autopicking import run_autopicking
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from pylot.core.util.structure import DATASTRUCTURE
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__version__ = _getVersionString()
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#METHOD = {'HOS':HOScf, 'AIC':AICcf}
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def autoPyLoT(inputfile):
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'''
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Determine phase onsets automatically utilizing the automatic picking
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algorithm by Kueperkoch et al. 2011.
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:param inputfile: path to the input file containing all parameter
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information for automatic picking (for formatting details, see.
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`~pylot.core.read.input.AutoPickParameter`
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:type inputfile: str
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:return:
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.. rubric:: Example
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'''
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# reading parameter file
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parameter = AutoPickParameter(inputfile)
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data = Data()
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# getting information on data structure
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if parameter.hasParam('datastructure'):
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datastructure = DATASTRUCTURE[parameter.getParam('datastructure')]()
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dsfields = {'root':parameter.getParam('rootpath'),
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'dpath':parameter.getParam('datapath'),
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'dbase':parameter.getParam('database')}
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exf = ['root', 'dpath', 'dbase']
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if parameter.hasParam('eventID'):
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dsfields['eventID'] = parameter.getParam('eventID')
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exf.append('eventID')
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datastructure.modifyFields(**dsfields)
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datastructure.setExpandFields(exf)
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# get streams
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# read each event in database
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datapath = datastructure.expandDataPath()
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if not parameter.hasParam('eventID'):
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for event in [events for events in glob.glob(os.path.join(datapath, '*')) if os.path.isdir(events)]:
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data.setWFData(glob.glob(os.path.join(datapath, event, '*')))
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print 'Working on event %s' %event
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print data
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wfdat = data.getWFData() # all available streams
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##########################################################
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# !automated picking starts here!
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procstats = []
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for i in range(len(wfdat)):
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stationID = wfdat[i].stats.station
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#check if station has already been processed
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if stationID not in procstats:
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procstats.append(stationID)
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#find corresponding streams
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statdat = wfdat.select(station=stationID)
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run_autopicking(statdat, parameter)
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print '------------------------------------------'
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print '-----Finished event %s!-----' % event
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print '------------------------------------------'
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#for single event processing
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else:
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data.setWFData(glob.glob(os.path.join(datapath, parameter.getParam('eventID'), '*')))
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print 'Working on event ', parameter.getParam('eventID')
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print data
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wfdat = data.getWFData() # all available streams
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##########################################################
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# !automated picking starts here!
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procstats = []
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for i in range(len(wfdat)):
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stationID = wfdat[i].stats.station
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#check if station has already been processed
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if stationID not in procstats:
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procstats.append(stationID)
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#find corresponding streams
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statdat = wfdat.select(station=stationID)
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run_autopicking(statdat, parameter)
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print '------------------------------------------'
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print '-------Finished event %s!-------' % parameter.getParam('eventID')
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print '------------------------------------------'
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if __name__ == "__main__":
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# parse arguments
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parser = argparse.ArgumentParser(
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description='''autoPyLoT automatically picks phase onset times using higher order statistics,
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autoregressive prediction and AIC''')
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parser.add_argument('-i', '-I', '--inputfile', type=str,
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action='store',
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help='''full path to the file containing the input
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parameters for autoPyLoT''',
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default=os.path.join(os.path.expanduser('~'), '.pylot',
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'autoPyLoT.in')
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)
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parser.add_argument('-v', '-V', '--version', action='version',
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version='autoPyLoT ' + __version__,
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help='show version information and exit')
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cla = parser.parse_args()
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autoPyLoT(str(cla.inputfile))
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