diff --git a/PyLoT.py b/PyLoT.py index c5c10899..9f5ed406 100755 --- a/PyLoT.py +++ b/PyLoT.py @@ -1031,22 +1031,23 @@ class MainWindow(QMainWindow): if not fname: return - qmb = QMessageBox(self, icon=QMessageBox.Question, - text='Do you want to overwrite this data?',) - overwrite_button = qmb.addButton('Overwrite', QMessageBox.YesRole) - merge_button = qmb.addButton('Merge', QMessageBox.NoRole) - - qmb.exec_() - - if qmb.clickedButton() == overwrite_button: - merge_strategy = 'Overwrite' - elif qmb.clickedButton() == merge_button: - merge_strategy = 'Merge' - else: - return - if not event: event = self.get_current_event() + + if event.picks: + qmb = QMessageBox(self, icon=QMessageBox.Question, + text='Do you want to overwrite the data?',) + overwrite_button = qmb.addButton('Overwrite', QMessageBox.YesRole) + merge_button = qmb.addButton('Merge', QMessageBox.NoRole) + qmb.exec_() + + if qmb.clickedButton() == overwrite_button: + merge_strategy = 'Overwrite' + elif qmb.clickedButton() == merge_button: + merge_strategy = 'Merge' + else: + return + data = Data(self, event) try: data_new = Data(self, evtdata=str(fname)) diff --git a/autoPyLoT.py b/autoPyLoT.py index 4746c963..b501217f 100755 --- a/autoPyLoT.py +++ b/autoPyLoT.py @@ -184,15 +184,15 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even if not input_dict: # started in production mode datapath = datastructure.expandDataPath() - if fnames == 'None' and parameter['eventID'] == '*': + if fnames in [None, 'None'] and parameter['eventID'] == '*': # multiple event processing # read each event in database events = [event for event in glob.glob(os.path.join(datapath, '*')) if (os.path.isdir(event) and not event.endswith('EVENTS-INFO'))] - elif fnames == 'None' and parameter['eventID'] != '*' and not type(parameter['eventID']) == list: + elif fnames in [None, 'None'] and parameter['eventID'] != '*' and not type(parameter['eventID']) == list: # single event processing events = glob.glob(os.path.join(datapath, parameter['eventID'])) - elif fnames == 'None' and type(parameter['eventID']) == list: + elif fnames in [None, 'None'] and type(parameter['eventID']) == list: # multiple event processing events = [] for eventID in parameter['eventID']: @@ -234,12 +234,15 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even data.get_evt_data().path = eventpath print('Reading event data from filename {}...'.format(filename)) except Exception as e: - print('Could not read event from file {}: {}'.format(filename, e)) + if type(e) == FileNotFoundError: + print('Creating new event file.') + else: + print('Could not read event from file {}: {}'.format(filename, e)) data = Data() pylot_event = Event(eventpath) # event should be path to event directory data.setEvtData(pylot_event) - if fnames == 'None': - data.setWFData(glob.glob(os.path.join(datapath, event_datapath, '*'))) + if fnames in [None, 'None']: + data.setWFData(glob.glob(os.path.join(event_datapath, '*'))) # the following is necessary because within # multiple event processing no event ID is provided # in autopylot.in diff --git a/tests/test_autopicker/PyLoT_20171010_063224.a_autopylot.xml b/tests/test_autopicker/PyLoT_20171010_063224.a_autopylot.xml new file mode 100644 index 00000000..244b29a4 --- /dev/null +++ b/tests/test_autopicker/PyLoT_20171010_063224.a_autopylot.xml @@ -0,0 +1,18672 @@ + + + + + + + + -18.58 + + + -69.86 + + + 106.4 + + + + + 6.27 + + Mwc + smi:local/ndk/C201710100632A/origin#cmtorigin + + + + + smi:local/bd98e0d3-7e37-4a5e-9b81-9a6f0800d7f6 + smi:local/auto + P + undecidable + + + + + smi:local/e6952e1c-3078-4bd7-b340-574e58b25d9e + smi:local/auto + S + undecidable + + + + + smi:local/b5e94fdc-6bc7-4c40-8354-763c0a3cdf87 + smi:local/auto + P + undecidable + + + + + smi:local/1c679d6b-c46c-4abe-8ee2-eb554f06af39 + smi:local/auto + S + undecidable + + + + + smi:local/bab4a9c1-591b-4f69-afde-1f18e336bf8b 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b/tests/test_autopicker/pylot_alparray_mantle_corr_stack_0.03-0.5.in @@ -0,0 +1,99 @@ +%This is a parameter input file for PyLoT/autoPyLoT. +%All main and special settings regarding data handling +%and picking are to be set here! +%Parameters are optimized for %extent data sets! +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#main settings# +dmt_database_test #datapath# %data path +20171010_063224.a #eventID# %event ID for single event processing (* for all events found in database) + #invdir# %full path to inventory or dataless-seed file +PILOT #datastructure# %choose data structure +True #apverbose# %choose 'True' or 'False' for terminal output +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#NLLoc settings# +None #nllocbin# %path to NLLoc executable +None #nllocroot# %root of NLLoc-processing directory +None #phasefile# %name of autoPyLoT-output phase file for NLLoc +None #ctrfile# %name of autoPyLoT-output control file for NLLoc +ttime #ttpatter# %pattern of NLLoc ttimes from grid +AUTOLOC_nlloc #outpatter# %pattern of NLLoc-output file +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#parameters for seismic moment estimation# +3530.0 #vp# %average P-wave velocity +2500.0 #rho# %average rock density [kg/m^3] +300.0 0.8 #Qp# %quality factor for P waves (Qp*f^a); list(Qp, a) +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#settings local magnitude# +1.0 1.0 1.0 #WAscaling# %Scaling relation (log(Ao)+Alog(r)+Br+C) of Wood-Anderson amplitude Ao [nm] If zeros are set, original Richter magnitude is calculated! +1.0 1.0 #magscaling# %Scaling relation for derived local magnitude [a*Ml+b]. If zeros are set, no scaling of network magnitude is applied! +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#filter settings# +0.03 0.03 #minfreq# %Lower filter frequency [P, S] +0.5 0.5 #maxfreq# %Upper filter frequency [P, S] +4 4 #filter_order# %filter order [P, S] +bandpass bandpass #filter_type# %filter type (bandpass, bandstop, lowpass, highpass) [P, S] +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +#common settings picker# +global #extent# %extent of array ("local", "regional" or "global") +-100.0 #pstart# %start time [s] for calculating CF for P-picking (if TauPy: seconds relative to estimated onset) +50.0 #pstop# %end time [s] for calculating CF for P-picking (if TauPy: seconds relative to estimated onset) +-50.0 #sstart# %start time [s] relative to P-onset for calculating CF for S-picking +50.0 #sstop# %end time [s] after P-onset for calculating CF for S-picking +True #use_taup# %use estimated traveltimes from TauPy for calculating windows for CF +ak135 #taup_model# %Define TauPy model for traveltime estimation. Possible values: 1066a, 1066b, ak135, ak135f, herrin, iasp91, jb, prem, pwdk, sp6 +P,Pdiff,S,SKS #taup_phases# %Specify possible phases for TauPy (comma separated). See Obspy TauPy documentation for possible values. +0.03 0.5 #bpz1# %lower/upper corner freq. of first band pass filter Z-comp. [Hz] +0.01 0.5 #bpz2# %lower/upper corner freq. of second band pass filter Z-comp. [Hz] +0.03 0.5 #bph1# %lower/upper corner freq. of first band pass filter H-comp. [Hz] +0.01 0.5 #bph2# %lower/upper corner freq. of second band pass filter z-comp. [Hz] +#special settings for calculating CF# +%!!Edit the following only if you know what you are doing!!% +#Z-component# +HOS #algoP# %choose algorithm for P-onset determination (HOS, ARZ, or AR3) +300.0 #tlta# %for HOS-/AR-AIC-picker, length of LTA window [s] +4 #hosorder# %for HOS-picker, order of Higher Order Statistics +2 #Parorder# %for AR-picker, order of AR process of Z-component +16.0 #tdet1z# %for AR-picker, length of AR determination window [s] for Z-component, 1st pick +10.0 #tpred1z# %for AR-picker, length of AR prediction window [s] for Z-component, 1st pick +12.0 #tdet2z# %for AR-picker, length of AR determination window [s] for Z-component, 2nd pick +6.0 #tpred2z# %for AR-picker, length of AR prediction window [s] for Z-component, 2nd pick +0.001 #addnoise# %add noise to seismogram for stable AR prediction +60.0 5.0 20.0 12.0 #tsnrz# %for HOS/AR, window lengths for SNR-and slope estimation [tnoise, tsafetey, tsignal, tslope] [s] +50.0 #pickwinP# %for initial AIC pick, length of P-pick window [s] +30.0 #Precalcwin# %for HOS/AR, window length [s] for recalculation of CF (relative to 1st pick) +2.0 #aictsmooth# %for HOS/AR, take average of samples for smoothing of AIC-function [s] +2.0 #tsmoothP# %for HOS/AR, take average of samples in this time window for smoothing CF [s] +0.006 #ausP# %for HOS/AR, artificial uplift of samples (aus) of CF (P) +2.0 #nfacP# %for HOS/AR, noise factor for noise level determination (P) +#H-components# +ARH #algoS# %choose algorithm for S-onset determination (ARH or AR3) +12.0 #tdet1h# %for HOS/AR, length of AR-determination window [s], H-components, 1st pick +6.0 #tpred1h# %for HOS/AR, length of AR-prediction window [s], H-components, 1st pick +8.0 #tdet2h# %for HOS/AR, length of AR-determinaton window [s], H-components, 2nd pick +4.0 #tpred2h# %for HOS/AR, length of AR-prediction window [s], H-components, 2nd pick +4 #Sarorder# %for AR-picker, order of AR process of H-components +100.0 #Srecalcwin# %for AR-picker, window length [s] for recalculation of CF (2nd pick) (H) +195.0 #pickwinS# %for initial AIC pick, length of S-pick window [s] +60.0 10.0 30.0 12.0 #tsnrh# %for ARH/AR3, window lengths for SNR-and slope estimation [tnoise, tsafetey, tsignal, tslope] [s] +22.0 #aictsmoothS# %for AIC-picker, take average of samples in this time window for smoothing of AIC-function [s] +20.0 #tsmoothS# %for AR-picker, take average of samples for smoothing CF [s] (S) +0.001 #ausS# %for HOS/AR, artificial uplift of samples (aus) of CF (S) +2.0 #nfacS# %for AR-picker, noise factor for noise level determination (S) +#first-motion picker# +1 #minfmweight# %minimum required P weight for first-motion determination +3.0 #minFMSNR# %miniumum required SNR for first-motion determination +10.0 #fmpickwin# %pick window [s] around P onset for calculating zero crossings +#quality assessment# +0.1 0.2 0.4 0.8 #timeerrorsP# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for P +4.0 8.0 16.0 32.0 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S +0.005 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected +1.1 #minAICPSNR# %below this SNR the initial P pick is rejected +0.002 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected +1.3 #minAICSSNR# %below this SNR the initial S pick is rejected +20.0 #minsiglength# %length of signal part for which amplitudes must exceed noiselevel [s] +1.0 #noisefactor# %noiselevel*noisefactor=threshold +10.0 #minpercent# %required percentage of amplitudes exceeding threshold +0.1 #zfac# %P-amplitude must exceed at least zfac times RMS-S amplitude +100.0 #mdttolerance# %maximum allowed deviation of P picks from median [s] +50.0 #wdttolerance# %maximum allowed deviation from Wadati-diagram +25.0 #jackfactor# %pick is removed if the variance of the subgroup with the pick removed is larger than the mean variance of all subgroups times safety factor diff --git a/tests/test_autopicker/test_autopylot.py b/tests/test_autopicker/test_autopylot.py new file mode 100644 index 00000000..744b9fd6 --- /dev/null +++ b/tests/test_autopicker/test_autopylot.py @@ -0,0 +1,67 @@ +import os +import pytest + +from obspy import read_events + +from autoPyLoT import autoPyLoT + + +class TestAutopickerGlobal(): + def init(self): + self.params_infile = 'pylot_alparray_mantle_corr_stack_0.03-0.5.in' + self.test_event_dir = 'dmt_database_test' + self.fname_outfile_xml = os.path.join( + self.test_event_dir, '20171010_063224.a', 'PyLoT_20171010_063224.a_autopylot.xml' + ) + + # check if the input files exist + if not os.path.isfile(self.params_infile): + print(f'Test input file {os.path.abspath(self.params_infile)} not found.') + return False + + if not os.path.exists(self.test_event_dir): + print( + f'Test event directory not found at location "{os.path.abspath(self.test_event_dir)}". ' + f'Make sure to load it from the website first.' + ) + return False + + return True + + def test_autopicker(self): + assert self.init(), 'Initialization failed due to missing input files.' + # check for output file in test directory and remove it if necessary + if os.path.isfile(self.fname_outfile_xml): + os.remove(self.fname_outfile_xml) + autoPyLoT(inputfile=self.params_infile, eventid='20171010_063224.a', obspyDMT_wfpath='processed') + + # test for different known output files if they are identical or not + compare_pickfiles(self.fname_outfile_xml, 'PyLoT_20171010_063224.a_autopylot.xml', True) + compare_pickfiles(self.fname_outfile_xml, 'PyLoT_20171010_063224.a_saved_from_GUI.xml', True) + compare_pickfiles(self.fname_outfile_xml, 'PyLoT_20171010_063224.a_corrected_taup_times_0.03-0.5_P.xml', False) + + +def compare_pickfiles(pickfile1: str, pickfile2: str, samefile: bool = True) -> None: + """ + Compare the pick times and errors from two pick files. + + Parameters: + pickfile1 (str): The path to the first pick file. + pickfile2 (str): The path to the second pick file. + samefile (bool): A flag indicating whether the two files are expected to be the same. Defaults to True. + + Returns: + None + """ + cat1 = read_events(pickfile1) + cat2 = read_events(pickfile2) + picks1 = sorted(cat1[0].picks, key=lambda pick: str(pick.waveform_id)) + picks2 = sorted(cat2[0].picks, key=lambda pick: str(pick.waveform_id)) + pick_times1 = [pick.time for pick in picks1] + pick_times2 = [pick.time for pick in picks2] + pick_terrs1 = [pick.time_errors for pick in picks1] + pick_terrs2 = [pick.time_errors for pick in picks2] + + # check if times and errors are identical or not depending on the samefile flag + assert (pick_times1 == pick_times2) is samefile, 'Pick times error' + assert (pick_terrs1 == pick_terrs2) is samefile, 'Pick time errors errors'