def test_dataselect(self): tmin = stt('2010-01-15 10:00:00') tmax = stt('2010-01-15 10:01:00') for site in ['geofon', 'iris']: fdsn.dataselect(site=site, network='GE', station='EIL', starttime=tmin, endtime=tmax)
def test_dataselection(self): tmin = stt('2010-01-15 10:00:00') tmax = stt('2010-01-15 10:01:00') selection = [ ('GE', 'EIL', '*', 'SHZ', tmin, tmax), ] fdsn.dataselect(site='geofon', selection=selection) fdsn.station(site='geofon', selection=selection, level='response')
def main(): parser = OptionParser(usage=usage, description=description) parser.add_option('--force', dest='force', action='store_true', default=False, help='allow recreation of output <directory>') parser.add_option('--debug', dest='debug', action='store_true', default=False, help='print debugging information to stderr') parser.add_option('--dry-run', dest='dry_run', action='store_true', default=False, help='show available stations/channels and exit ' '(do not download waveforms)') parser.add_option('--continue', dest='continue_', action='store_true', default=False, help='continue download after a accident') parser.add_option('--local-data', dest='local_data', action='append', help='add file/directory with local data') parser.add_option('--local-stations', dest='local_stations', action='append', help='add local stations file') parser.add_option('--selection', dest='selection_file', action='append', help='add local stations file') parser.add_option( '--local-responses-resp', dest='local_responses_resp', action='append', help='add file/directory with local responses in RESP format') parser.add_option('--local-responses-pz', dest='local_responses_pz', action='append', help='add file/directory with local pole-zero responses') parser.add_option( '--local-responses-stationxml', dest='local_responses_stationxml', help='add file with local response information in StationXML format') parser.add_option( '--window', dest='window', default='full', help='set time window to choose [full, p, "<time-start>,<time-end>"' '] (time format is YYYY-MM-DD HH:MM:SS)') parser.add_option( '--out-components', choices=['enu', 'rtu'], dest='out_components', default='rtu', help='set output component orientations to radial-transverse-up [rtu] ' '(default) or east-north-up [enu]') parser.add_option('--out-units', choices=['M', 'M/S', 'M/S**2'], dest='output_units', default='M', help='set output units to displacement "M" (default),' ' velocity "M/S" or acceleration "M/S**2"') parser.add_option( '--padding-factor', type=float, default=3.0, dest='padding_factor', help='extend time window on either side, in multiples of 1/<fmin_hz> ' '(default: 5)') parser.add_option( '--zero-padding', dest='zero_pad', action='store_true', default=False, help='Extend traces by zero-padding if clean restitution requires' 'longer windows') parser.add_option( '--credentials', dest='user_credentials', action='append', default=[], metavar='SITE,USER,PASSWD', help='user credentials for specific site to access restricted data ' '(this option can be repeated)') parser.add_option( '--token', dest='auth_tokens', metavar='SITE,FILENAME', action='append', default=[], help='user authentication token for specific site to access ' 'restricted data (this option can be repeated)') parser.add_option( '--sites', dest='sites', metavar='SITE1,SITE2,...', default='geofon,iris,orfeus', help='sites to query (available: %s, default: "%%default"' % ', '.join(g_sites_available)) parser.add_option( '--band-codes', dest='priority_band_code', metavar='V,L,M,B,H,S,E,...', default='B,H', help='select and prioritize band codes (default: %default)') parser.add_option( '--instrument-codes', dest='priority_instrument_code', metavar='H,L,G,...', default='H,L', help='select and prioritize instrument codes (default: %default)') parser.add_option('--radius-min', dest='radius_min', metavar='VALUE', default=0.0, type=float, help='minimum radius [km]') parser.add_option('--nstations-wanted', dest='nstations_wanted', metavar='N', type=int, help='number of stations to select initially') (options, args) = parser.parse_args(sys.argv[1:]) print('Parsed arguments:', args) if len(args) not in (10, 7, 6): parser.print_help() sys.exit(1) if options.debug: util.setup_logging(program_name, 'debug') else: util.setup_logging(program_name, 'info') if options.local_responses_pz and options.local_responses_resp: logger.critical('cannot use local responses in PZ and RESP ' 'format at the same time') sys.exit(1) n_resp_opt = 0 for resp_opt in (options.local_responses_pz, options.local_responses_resp, options.local_responses_stationxml): if resp_opt: n_resp_opt += 1 if n_resp_opt > 1: logger.critical('can only handle local responses from either PZ or ' 'RESP or StationXML. Cannot yet merge different ' 'response formats.') sys.exit(1) if options.local_responses_resp and not options.local_stations: logger.critical('--local-responses-resp can only be used ' 'when --stations is also given.') sys.exit(1) try: ename = '' magnitude = None mt = None if len(args) == 10: time = util.str_to_time(args[1] + ' ' + args[2]) lat = float(args[3]) lon = float(args[4]) depth = float(args[5]) * km iarg = 6 elif len(args) == 7: if args[2].find(':') == -1: sname_or_date = None lat = float(args[1]) lon = float(args[2]) event = None time = None else: sname_or_date = args[1] + ' ' + args[2] iarg = 3 elif len(args) == 6: sname_or_date = args[1] iarg = 2 if len(args) in (7, 6) and sname_or_date is not None: events = get_events_by_name_or_date([sname_or_date], catalog=geofon) if len(events) == 0: logger.critical('no event found') sys.exit(1) elif len(events) > 1: logger.critical('more than one event found') sys.exit(1) event = events[0] time = event.time lat = event.lat lon = event.lon depth = event.depth ename = event.name magnitude = event.magnitude mt = event.moment_tensor radius = float(args[iarg]) * km fmin = float(args[iarg + 1]) sample_rate = float(args[iarg + 2]) eventname = args[iarg + 3] cwd = str(sys.argv[1]) event_dir = op.join(cwd, 'data', 'events', eventname) output_dir = op.join(event_dir, 'waveforms') except: raise parser.print_help() sys.exit(1) if options.force and op.isdir(event_dir): if not options.continue_: shutil.rmtree(event_dir) if op.exists(event_dir) and not options.continue_: logger.critical( 'directory "%s" exists. Delete it first or use the --force option' % event_dir) sys.exit(1) util.ensuredir(output_dir) if time is not None: event = model.Event(time=time, lat=lat, lon=lon, depth=depth, name=ename, magnitude=magnitude, moment_tensor=mt) if options.window == 'full': if event is None: logger.critical('need event for --window=full') sys.exit(1) low_velocity = 1500. timewindow = VelocityWindow(low_velocity, tpad=options.padding_factor / fmin) tmin, tmax = timewindow(time, radius, depth) elif options.window == 'p': if event is None: logger.critical('need event for --window=p') sys.exit(1) phases = list(map(cake.PhaseDef, 'P p'.split())) emod = cake.load_model() tpad = options.padding_factor / fmin timewindow = PhaseWindow(emod, phases, -tpad, tpad) arrivaltimes = [] for dist in num.linspace(0, radius, 20): try: arrivaltimes.extend(timewindow(time, dist, depth)) except NoArrival: pass if not arrivaltimes: logger.error('required phase arrival not found') sys.exit(1) tmin = min(arrivaltimes) tmax = max(arrivaltimes) else: try: stmin, stmax = options.window.split(',') tmin = util.str_to_time(stmin.strip()) tmax = util.str_to_time(stmax.strip()) timewindow = FixedWindow(tmin, tmax) except ValueError: logger.critical('invalid argument to --window: "%s"' % options.window) sys.exit(1) if event is not None: event.name = eventname tfade = tfade_factor / fmin tpad = tfade tmin -= tpad tmax += tpad tinc = None priority_band_code = options.priority_band_code.split(',') for s in priority_band_code: if len(s) != 1: logger.critical('invalid band code: %s' % s) priority_instrument_code = options.priority_instrument_code.split(',') for s in priority_instrument_code: if len(s) != 1: logger.critical('invalid instrument code: %s' % s) station_query_conf = dict(latitude=lat, longitude=lon, minradius=options.radius_min * km * cake.m2d, maxradius=radius * cake.m2d, channel=','.join('%s??' % s for s in priority_band_code)) target_sample_rate = sample_rate fmax = target_sample_rate # target_sample_rate = None # priority_band_code = ['H', 'B', 'M', 'L', 'V', 'E', 'S'] priority_units = ['M/S', 'M', 'M/S**2'] # output_units = 'M' sites = [x.strip() for x in options.sites.split(',') if x.strip()] for site in sites: if site not in g_sites_available: logger.critical('unknown FDSN site: %s' % site) sys.exit(1) for s in options.user_credentials: try: site, user, passwd = s.split(',') g_user_credentials[site] = user, passwd except ValueError: logger.critical('invalid format for user credentials: "%s"' % s) sys.exit(1) for s in options.auth_tokens: try: site, token_filename = s.split(',') with open(token_filename, 'r') as f: g_auth_tokens[site] = f.read() except (ValueError, OSError, IOError): logger.critical('cannot get token from file: %s' % token_filename) sys.exit(1) fn_template0 = \ 'data_%(network)s.%(station)s.%(location)s.%(channel)s_%(tmin)s.mseed' fn_template_raw = op.join(output_dir, 'raw', fn_template0) fn_stations_raw = op.join(output_dir, 'stations.raw.txt') fn_template_rest = op.join(output_dir, 'rest', fn_template0) fn_commandline = op.join(output_dir, 'beatdown.command') ftap = (ffade_factors[0] * fmin, fmin, fmax, ffade_factors[1] * fmax) # chapter 1: download sxs = [] for site in sites: try: extra_args = { 'iris': dict(matchtimeseries=True), }.get(site, {}) extra_args.update(station_query_conf) if site == 'geonet': extra_args.update(starttime=tmin, endtime=tmax) else: extra_args.update(startbefore=tmax, endafter=tmin, includerestricted=(site in g_user_credentials or site in g_auth_tokens)) logger.info('downloading channel information (%s)' % site) sx = fdsn.station(site=site, format='text', level='channel', **extra_args) except fdsn.EmptyResult: logger.error('No stations matching given criteria. (%s)' % site) sx = None if sx is not None: sxs.append(sx) if all(sx is None for sx in sxs) and not options.local_data: sys.exit(1) nsl_to_sites = defaultdict(list) nsl_to_station = {} if options.selection_file: logger.info('using stations from stations file!') stations = [] for fn in options.selection_file: stations.extend(model.load_stations(fn)) nsls_selected = set(s.nsl() for s in stations) else: nsls_selected = None for sx, site in zip(sxs, sites): site_stations = sx.get_pyrocko_stations() for s in site_stations: nsl = s.nsl() nsl_to_sites[nsl].append(site) if nsl not in nsl_to_station: if nsls_selected: if nsl in nsls_selected: nsl_to_station[nsl] = s else: nsl_to_station[ nsl] = s # using first site with this station logger.info('number of stations found: %i' % len(nsl_to_station)) # station weeding if options.nstations_wanted: nsls_selected = None stations_all = [ nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys()) ] for s in stations_all: s.set_event_relative_data(event) stations_selected = weeding.weed_stations(stations_all, options.nstations_wanted)[0] nsls_selected = set(s.nsl() for s in stations_selected) logger.info('number of stations selected: %i' % len(nsls_selected)) if tinc is None: tinc = 3600. have_data = set() if options.continue_: fns = glob.glob(fn_template_raw % starfill()) p = pile.make_pile(fns) else: fns = [] have_data_site = {} could_have_data_site = {} for site in sites: have_data_site[site] = set() could_have_data_site[site] = set() available_through = defaultdict(set) it = 0 nt = int(math.ceil((tmax - tmin) / tinc)) for it in range(nt): tmin_win = tmin + it * tinc tmax_win = min(tmin + (it + 1) * tinc, tmax) logger.info('time window %i/%i (%s - %s)' % (it + 1, nt, util.tts(tmin_win), util.tts(tmax_win))) have_data_this_window = set() if options.continue_: trs_avail = p.all(tmin=tmin_win, tmax=tmax_win, load_data=False) for tr in trs_avail: have_data_this_window.add(tr.nslc_id) for site, sx in zip(sites, sxs): if sx is None: continue selection = [] channels = sx.choose_channels( target_sample_rate=target_sample_rate, priority_band_code=priority_band_code, priority_units=priority_units, priority_instrument_code=priority_instrument_code, timespan=(tmin_win, tmax_win)) for nslc in sorted(channels.keys()): if nsls_selected is not None and nslc[:3] not in nsls_selected: continue could_have_data_site[site].add(nslc) if nslc not in have_data_this_window: channel = channels[nslc] if event: lat_, lon_ = event.lat, event.lon else: lat_, lon_ = lat, lon try: dist = orthodrome.distance_accurate50m_numpy( lat_, lon_, channel.latitude.value, channel.longitude.value) except: dist = orthodrome.distance_accurate50m_numpy( lat_, lon_, channel.latitude, channel.longitude) if event: depth_ = event.depth time_ = event.time else: depth_ = None time_ = None tmin_, tmax_ = timewindow(time_, dist, depth_) tmin_this = tmin_ - tpad tmax_this = float(tmax_ + tpad) tmin_req = max(tmin_win, tmin_this) tmax_req = min(tmax_win, tmax_this) if channel.sample_rate: try: deltat = 1.0 / int(channel.sample_rate.value) except: deltat = 1.0 / int(channel.sample_rate) else: deltat = 1.0 if tmin_req < tmax_req: logger.debug('deltat %f' % deltat) # extend time window by some samples because otherwise # sometimes gaps are produced # apparently the WS are only sensitive to full seconds # round to avoid gaps, increase safetiy window selection.append(nslc + (math.floor(tmin_req - deltat * 20.0), math.ceil(tmax_req + deltat * 20.0))) if options.dry_run: for (net, sta, loc, cha, tmin, tmax) in selection: available_through[net, sta, loc, cha].add(site) else: neach = 100 i = 0 nbatches = ((len(selection) - 1) // neach) + 1 while i < len(selection): selection_now = selection[i:i + neach] f = tempfile.NamedTemporaryFile() try: sbatch = '' if nbatches > 1: sbatch = ' (batch %i/%i)' % ( (i // neach) + 1, nbatches) logger.info('downloading data (%s)%s' % (site, sbatch)) data = fdsn.dataselect(site=site, selection=selection_now, **get_user_credentials(site)) while True: buf = data.read(1024) if not buf: break f.write(buf) f.flush() trs = io.load(f.name) for tr in trs: tr.fix_deltat_rounding_errors() logger.debug('cutting window: %f - %f' % (tmin_win, tmax_win)) logger.debug( 'available window: %f - %f, nsamples: %g' % (tr.tmin, tr.tmax, tr.ydata.size)) try: logger.debug('tmin before snap %f' % tr.tmin) tr.snap(interpolate=True) logger.debug('tmin after snap %f' % tr.tmin) tr.chop(tmin_win, tmax_win, snap=(math.floor, math.ceil), include_last=True) logger.debug( 'cut window: %f - %f, nsamles: %g' % (tr.tmin, tr.tmax, tr.ydata.size)) have_data.add(tr.nslc_id) have_data_site[site].add(tr.nslc_id) except trace.NoData: pass fns2 = io.save(trs, fn_template_raw) for fn in fns2: if fn in fns: logger.warn('overwriting file %s', fn) fns.extend(fns2) except fdsn.EmptyResult: pass except HTTPError: logger.warn('an error occurred while downloading data ' 'for channels \n %s' % '\n '.join('.'.join(x[:4]) for x in selection_now)) f.close() i += neach if options.dry_run: nslcs = sorted(available_through.keys()) all_channels = defaultdict(set) all_stations = defaultdict(set) def plural_s(x): return '' if x == 1 else 's' for nslc in nslcs: sites = tuple(sorted(available_through[nslc])) logger.info('selected: %s.%s.%s.%s from site%s %s' % (nslc + (plural_s(len(sites)), '+'.join(sites)))) all_channels[sites].add(nslc) all_stations[sites].add(nslc[:3]) nchannels_all = 0 nstations_all = 0 for sites in sorted(all_channels.keys(), key=lambda sites: (-len(sites), sites)): nchannels = len(all_channels[sites]) nstations = len(all_stations[sites]) nchannels_all += nchannels nstations_all += nstations logger.info('selected (%s): %i channel%s (%i station%s)' % ('+'.join(sites), nchannels, plural_s(nchannels), nstations, plural_s(nstations))) logger.info('selected total: %i channel%s (%i station%s)' % (nchannels_all, plural_s(nchannels_all), nstations_all, plural_s(nstations_all))) logger.info('dry run done.') sys.exit(0) for nslc in have_data: # if we are in continue mode, we have to guess where the data came from if not any(nslc in have_data_site[site] for site in sites): for site in sites: if nslc in could_have_data_site[site]: have_data_site[site].add(nslc) sxs = {} for site in sites: selection = [] for nslc in sorted(have_data_site[site]): selection.append(nslc + (tmin - tpad, tmax + tpad)) if selection: logger.info('downloading response information (%s)' % site) sxs[site] = fdsn.station(site=site, level='response', selection=selection) sxs[site].dump_xml(filename=op.join(output_dir, 'stations.%s.xml' % site)) # chapter 1.5: inject local data if options.local_data: have_data_site['local'] = set() plocal = pile.make_pile(options.local_data, fileformat='detect') logger.info( 'Importing local data from %s between %s (%f) and %s (%f)' % (options.local_data, util.time_to_str(tmin), tmin, util.time_to_str(tmax), tmax)) for traces in plocal.chopper_grouped(gather=lambda tr: tr.nslc_id, tmin=tmin, tmax=tmax, tinc=tinc): for tr in traces: if tr.nslc_id not in have_data: fns.extend(io.save(traces, fn_template_raw)) have_data_site['local'].add(tr.nslc_id) have_data.add(tr.nslc_id) sites.append('local') if options.local_responses_pz: sxs['local'] = epz.make_stationxml( epz.iload(options.local_responses_pz)) if options.local_responses_resp: local_stations = [] for fn in options.local_stations: local_stations.extend(model.load_stations(fn)) sxs['local'] = resp.make_stationxml( local_stations, resp.iload(options.local_responses_resp)) if options.local_responses_stationxml: sxs['local'] = stationxml.load_xml( filename=options.local_responses_stationxml) # chapter 1.6: dump raw data stations file nsl_to_station = {} for site in sites: if site in sxs: stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax)) for s in stations: nsl = s.nsl() if nsl not in nsl_to_station: nsl_to_station[nsl] = s stations = [nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys())] util.ensuredirs(fn_stations_raw) model.dump_stations(stations, fn_stations_raw) dump_commandline(sys.argv, fn_commandline) # chapter 2: restitution if not fns: logger.error('no data available') sys.exit(1) p = pile.make_pile(fns, show_progress=False) p.get_deltatmin() otinc = None if otinc is None: otinc = nice_seconds_floor(p.get_deltatmin() * 500000.) otinc = 3600. otmin = math.floor(p.tmin / otinc) * otinc otmax = math.ceil(p.tmax / otinc) * otinc otpad = tpad * 2 fns = [] rest_traces_b = [] win_b = None for traces_a in p.chopper_grouped(gather=lambda tr: tr.nslc_id, tmin=otmin, tmax=otmax, tinc=otinc, tpad=otpad): rest_traces_a = [] win_a = None for tr in traces_a: win_a = tr.wmin, tr.wmax if win_b and win_b[0] >= win_a[0]: fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest)) rest_traces_b = [] win_b = None response = None failure = [] for site in sites: try: if site not in sxs: continue logger.debug('Getting response for %s' % tr.__str__()) response = sxs[site].get_pyrocko_response( tr.nslc_id, timespan=(tr.tmin, tr.tmax), fake_input_units=options.output_units) break except stationxml.NoResponseInformation: failure.append('%s: no response information' % site) except stationxml.MultipleResponseInformation: failure.append('%s: multiple response information' % site) if response is None: failure = ', '.join(failure) else: failure = '' try: if tr.tmin > tmin and options.zero_pad: logger.warning( 'Trace too short for clean restitution in ' 'desired frequency band -> zero-padding!') tr.extend(tr.tmin - tfade, tr.tmax + tfade, 'repeat') rest_tr = tr.transfer(tfade, ftap, response, invert=True) rest_traces_a.append(rest_tr) except (trace.TraceTooShort, trace.NoData): failure = 'trace too short' if failure: logger.warn('failed to restitute trace %s.%s.%s.%s (%s)' % (tr.nslc_id + (failure, ))) if rest_traces_b: rest_traces = trace.degapper(rest_traces_b + rest_traces_a, deoverlap='crossfade_cos') fns.extend(cut_n_dump(rest_traces, win_b, fn_template_rest)) rest_traces_a = [] if win_a: for tr in rest_traces: try: rest_traces_a.append( tr.chop(win_a[0], win_a[1] + otpad, inplace=False)) except trace.NoData: pass rest_traces_b = rest_traces_a win_b = win_a fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest)) # chapter 3: rotated restituted traces for inspection if not event: sys.exit(0) fn_template1 = \ 'DISPL.%(network)s.%(station)s.%(location)s.%(channel)s' fn_waveforms = op.join(output_dir, 'prepared', fn_template1) fn_stations = op.join(output_dir, 'stations.prepared.txt') fn_event = op.join(event_dir, 'event.txt') fn_event_yaml = op.join(event_dir, 'event.yaml') nsl_to_station = {} for site in sites: if site in sxs: stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax)) for s in stations: nsl = s.nsl() if nsl not in nsl_to_station: nsl_to_station[nsl] = s p = pile.make_pile(fns, show_progress=False) deltat = None if sample_rate is not None: deltat = 1.0 / sample_rate traces_beat = [] used_stations = [] for nsl, s in nsl_to_station.items(): s.set_event_relative_data(event) traces = p.all(trace_selector=lambda tr: tr.nslc_id[:3] == nsl) if options.out_components == 'rtu': pios = s.guess_projections_to_rtu(out_channels=('R', 'T', 'Z')) elif options.out_components == 'enu': pios = s.guess_projections_to_enu(out_channels=('E', 'N', 'Z')) else: assert False for (proj, in_channels, out_channels) in pios: proc = trace.project(traces, proj, in_channels, out_channels) for tr in proc: tr_beat = heart.SeismicDataset.from_pyrocko_trace(tr) traces_beat.append(tr_beat) for ch in out_channels: if ch.name == tr.channel: s.add_channel(ch) if proc: io.save(proc, fn_waveforms) used_stations.append(s) stations = list(used_stations) util.ensuredirs(fn_stations) model.dump_stations(stations, fn_stations) model.dump_events([event], fn_event) from pyrocko.guts import dump dump([event], filename=fn_event_yaml) utility.dump_objects(op.join(cwd, 'seismic_data.pkl'), outlist=[stations, traces_beat]) logger.info('prepared waveforms from %i stations' % len(stations))
tmax = util.stt('2014-01-01 16:39:59.000') # select stations by their NSLC id and wildcards (asterisk) selection = [ ('*', 'HMDT', '*', '*', tmin, tmax), # all available components ('GE', 'EIL', '*', '*Z', tmin, tmax), # all vertical components ] # Restricted access token # token = open('token.asc', 'rb').read() # request_waveform = fdsn.dataselect(site='geofon', selection=selection, # token=token) # setup a waveform data request request_waveform = fdsn.dataselect(site='geofon', selection=selection) # write the incoming data stream to 'traces.mseed' with open('traces.mseed', 'wb') as file: file.write(request_waveform.read()) # request meta data request_response = fdsn.station( site='geofon', selection=selection, level='response') # save the response in YAML and StationXML format request_response.dump(filename='responses_geofon.yaml') request_response.dump_xml(filename='responses_geofon.xml') # Loop through retrieved waveforms and request meta information # for each trace
neach = 100 i = 0 nbatches = ((len(selection) - 1) // neach) + 1 while i < len(selection): selection_now = selection[i:i + neach] f = tempfile.NamedTemporaryFile() try: sbatch = '' if nbatches > 1: sbatch = ' (batch %i/%i)' % ( (i // neach) + 1, nbatches) logger.info('downloading data (%s)%s' % (site, sbatch)) data = fdsn.dataselect(site=site, selection=selection_now, **get_user_credentials(site)) while True: buf = data.read(1024) if not buf: break f.write(buf) f.flush() trs = io.load(f.name) for tr in trs: try: tr.chop(tmin_win, tmax_win) have_data.add(tr.nslc_id)
def download_raw(path, tmint, tmaxt, seiger=True, selection=None, providers=["bgr", "http://ws.gpi.kit.edu"], clean=True, detector=False, common_f=80, tinc=None): try: tmin = util.stt(tmint) tmax = util.stt(tmaxt) except: tmin = tmint tmax = tmaxt util.ensuredir(path + "/downloads") for provider in providers: if clean is True and detector is True: subprocess.run(['rm -r %s*' % (path + '/downloads/')], shell=True) if seiger is True: selection = get_seiger_stations(tmin, tmax) request_waveform = fdsn.dataselect(site=provider, selection=selection) # write the incoming data stream to 'traces.mseed' if provider == "http://ws.gpi.kit.edu": provider = "kit" if provider == "http://192.168.11.220:8080": provider = "bgr" download_basepath = os.path.join(path, "traces_%s.mseed" % provider) with open(download_basepath, 'wb') as file: file.write(request_waveform.read()) traces = io.load(download_basepath) if common_f is not None: for tr in traces: if tr.deltat != common_f: tr.downsample_to(1 / common_f) tr.ydata = tr.ydata.astype(num.int32) if detector is True: for tr in traces: tr.chop(tmin, tmax) date_min = get_time_format_eq(tr.tmin) date_max = get_time_format_eq(tr.tmax) io.save( tr, "%sdownloads/%s/%s.%s..%s__%s__%s.mseed" % (path, tr.station, tr.network, tr.station, tr.channel, date_min, date_max)) else: util.ensuredir("%s/downloads/" % path) window_start = traces[0].tmin window_end = traces[0].tmax timestring = util.time_to_str(window_start, format='%Y-%m') io.save( traces, "%s/%s/%s_%s_%s.mseed" % (path, timestring, provider, tmin, tmax)) if clean is True: for provider in providers: if provider == "http://192.168.11.220:8080": provider = "bgr" if provider == "http://ws.gpi.kit.edu": provider = "kit" subprocess.run( ['rm -r %s*' % (path + '/traces_%s.mseed' % provider)], shell=True, stdout=DEVNULL, stderr=STDOUT)
def main(): parser = OptionParser(usage=usage, description=description) parser.add_option( "--force", dest="force", action="store_true", default=False, help="allow recreation of output <directory>", ) parser.add_option( "--debug", dest="debug", action="store_true", default=False, help="print debugging information to stderr", ) parser.add_option( "--dry-run", dest="dry_run", action="store_true", default=False, help="show available stations/channels and exit " "(do not download waveforms)", ) parser.add_option( "--continue", dest="continue_", action="store_true", default=False, help="continue download after a accident", ) parser.add_option( "--local-data", dest="local_data", action="append", help="add file/directory with local data", ) parser.add_option( "--local-stations", dest="local_stations", action="append", help="add local stations file", ) parser.add_option( "--local-responses-resp", dest="local_responses_resp", action="append", help="add file/directory with local responses in RESP format", ) parser.add_option( "--local-responses-pz", dest="local_responses_pz", action="append", help="add file/directory with local pole-zero responses", ) parser.add_option( "--local-responses-stationxml", dest="local_responses_stationxml", help="add file with local response information in StationXML format", ) parser.add_option( "--window", dest="window", default="full", help='set time window to choose [full, p, "<time-start>,<time-end>"' "] (time format is YYYY-MM-DD HH:MM:SS)", ) parser.add_option( "--out-components", choices=["enu", "rtu"], dest="out_components", default="rtu", help="set output component orientations to radial-transverse-up [rtu] " "(default) or east-north-up [enu]", ) parser.add_option( "--padding-factor", type=float, default=3.0, dest="padding_factor", help="extend time window on either side, in multiples of 1/<fmin_hz> " "(default: 5)", ) parser.add_option( "--credentials", dest="user_credentials", action="append", default=[], metavar="SITE,USER,PASSWD", help="user credentials for specific site to access restricted data " "(this option can be repeated)", ) parser.add_option( "--token", dest="auth_tokens", metavar="SITE,FILENAME", action="append", default=[], help="user authentication token for specific site to access " "restricted data (this option can be repeated)", ) parser.add_option( "--sites", dest="sites", metavar="SITE1,SITE2,...", # default='bgr', default="http://ws.gpi.kit.edu,bgr,http://188.246.25.142:8080", help='sites to query (available: %s, default: "%%default"' % ", ".join(g_sites_available), ) parser.add_option( "--band-codes", dest="priority_band_code", metavar="V,L,M,B,H,S,E,...", default="V,L,M,B,H,E", help="select and prioritize band codes (default: %default)", ) parser.add_option( "--instrument-codes", dest="priority_instrument_code", metavar="H,L,G,...", default="H,L,O,", help="select and prioritize instrument codes (default: %default)", ) parser.add_option( "--radius-min", dest="radius_min", metavar="VALUE", default=0.0, type=float, help="minimum radius [km]", ) parser.add_option( "--tinc", dest="tinc", metavar="VALUE", default=3600.0 * 12.0, type=float, help="length of seperate saved files in s", ) parser.add_option( "--nstations-wanted", dest="nstations_wanted", metavar="N", type=int, help="number of stations to select initially", ) (options, args) = parser.parse_args(sys.argv[1:]) if len(args) not in (9, 6, 5): parser.print_help() sys.exit(1) if options.debug: util.setup_logging(program_name, "debug") else: util.setup_logging(program_name, "info") if options.local_responses_pz and options.local_responses_resp: logger.critical("cannot use local responses in PZ and RESP " "format at the same time") sys.exit(1) n_resp_opt = 0 for resp_opt in ( options.local_responses_pz, options.local_responses_resp, options.local_responses_stationxml, ): if resp_opt: n_resp_opt += 1 if n_resp_opt > 1: logger.critical("can only handle local responses from either PZ or " "RESP or StationXML. Cannot yet merge different " "response formats.") sys.exit(1) if options.local_responses_resp and not options.local_stations: logger.critical("--local-responses-resp can only be used " "when --stations is also given.") sys.exit(1) try: ename = "" magnitude = None mt = None if len(args) == 9: time = util.str_to_time(args[0] + " " + args[1]) lat = float(args[2]) lon = float(args[3]) depth = float(args[4]) * km iarg = 5 elif len(args) == 6: if args[1].find(":") == -1: sname_or_date = None lat = float(args[0]) lon = float(args[1]) event = None time = None else: sname_or_date = args[0] + " " + args[1] iarg = 2 elif len(args) == 5: sname_or_date = args[0] iarg = 1 if len(args) in (6, 5) and sname_or_date is not None: events = get_events_by_name_or_date([sname_or_date], catalog=geofon) if len(events) == 0: logger.critical("no event found") sys.exit(1) elif len(events) > 1: logger.critical("more than one event found") sys.exit(1) event = events[0] time = event.time lat = event.lat lon = event.lon depth = event.depth ename = event.name magnitude = event.magnitude mt = event.moment_tensor radius = float(args[iarg]) * km fmin = float(args[iarg + 1]) sample_rate = float(args[iarg + 2]) eventname = args[iarg + 3] event_dir = op.join("data", "events", eventname) output_dir = op.join(event_dir, "waveforms") except: raise parser.print_help() sys.exit(1) if options.force and op.isdir(event_dir): if not options.continue_: shutil.rmtree(event_dir) if op.exists(event_dir) and not options.continue_: logger.critical( 'directory "%s" exists. Delete it first or use the --force option' % event_dir) sys.exit(1) util.ensuredir(output_dir) if time is not None: event = model.Event( time=time, lat=lat, lon=lon, depth=depth, name=ename, magnitude=magnitude, moment_tensor=mt, ) if options.window == "full": if event is None: logger.critical("need event for --window=full") sys.exit(1) low_velocity = 1500.0 timewindow = VelocityWindow(low_velocity, tpad=options.padding_factor / fmin) tmin, tmax = timewindow(time, radius, depth) elif options.window == "p": if event is None: logger.critical("need event for --window=p") sys.exit(1) phases = list(map(cake.PhaseDef, "P p".split())) emod = cake.load_model() tpad = options.padding_factor / fmin timewindow = PhaseWindow(emod, phases, -tpad, tpad) arrivaltimes = [] for dist in num.linspace(0, radius, 20): try: arrivaltimes.extend(timewindow(time, dist, depth)) except NoArrival: pass if not arrivaltimes: logger.error("required phase arrival not found") sys.exit(1) tmin = min(arrivaltimes) tmax = max(arrivaltimes) else: try: stmin, stmax = options.window.split(",") tmin = util.str_to_time(stmin.strip()) tmax = util.str_to_time(stmax.strip()) timewindow = FixedWindow(tmin, tmax) except ValueError: logger.critical('invalid argument to --window: "%s"' % options.window) sys.exit(1) if event is not None: event.name = eventname tlen = tmax - tmin tfade = tfade_factor / fmin tpad = tfade tmin -= tpad tmax += tpad priority_band_code = options.priority_band_code.split(",") for s in priority_band_code: if len(s) != 1: logger.critical("invalid band code: %s" % s) priority_instrument_code = options.priority_instrument_code.split(",") for s in priority_instrument_code: if len(s) != 1: logger.critical("invalid instrument code: %s" % s) station_query_conf = dict( latitude=lat, longitude=lon, minradius=options.radius_min * km * cake.m2d, maxradius=radius * cake.m2d, channel=",".join("?%s?" % s for s in priority_band_code), ) target_sample_rate = sample_rate fmax = target_sample_rate # target_sample_rate = None # priority_band_code = ['H', 'B', 'M', 'L', 'V', 'E', 'S'] priority_units = ["M/S", "M", "M/S**2"] output_units = "M" sites = [x.strip() for x in options.sites.split(",") if x.strip()] tinc = options.tinc # for site in sites: # if site not in g_sites_available: # logger.critical('unknown FDSN site: %s' % site) # sys.exit(1) for s in options.user_credentials: try: site, user, passwd = s.split(",") g_user_credentials[site] = user, passwd except ValueError: logger.critical('invalid format for user credentials: "%s"' % s) sys.exit(1) for s in options.auth_tokens: try: site, token_filename = s.split(",") with open(token_filename, "r") as f: g_auth_tokens[site] = f.read() except (ValueError, OSError, IOError): logger.critical("cannot get token from file: %s" % token_filename) sys.exit(1) fn_template0 = ( "data_%(network)s.%(station)s.%(location)s.%(channel)s_%(tmin)s.mseed") fn_template_raw = op.join(output_dir, "raw", fn_template0) fn_template_raw_folder = op.join(output_dir, "raw/", "traces.mseed") fn_stations_raw = op.join(output_dir, "stations.raw.txt") fn_template_rest = op.join(output_dir, "rest", fn_template0) fn_commandline = op.join(output_dir, "seigerdown.command") ftap = (ffade_factors[0] * fmin, fmin, fmax, ffade_factors[1] * fmax) # chapter 1: download sxs = [] for site in sites: try: extra_args = { "iris": dict(matchtimeseries=True), }.get(site, {}) extra_args.update(station_query_conf) if site == "geonet": extra_args.update(starttime=tmin, endtime=tmax) else: extra_args.update( startbefore=tmax, endafter=tmin, includerestricted=(site in g_user_credentials or site in g_auth_tokens), ) logger.info("downloading channel information (%s)" % site) sx = fdsn.station(site=site, format="text", level="channel", **extra_args) except fdsn.EmptyResult: logger.error("No stations matching given criteria. (%s)" % site) sx = None if sx is not None: sxs.append(sx) if all(sx is None for sx in sxs) and not options.local_data: sys.exit(1) nsl_to_sites = defaultdict(list) nsl_to_station = {} for sx, site in zip(sxs, sites): site_stations = sx.get_pyrocko_stations() for s in site_stations: nsl = s.nsl() nsl_to_sites[nsl].append(site) if nsl not in nsl_to_station: nsl_to_station[nsl] = s # using first site with this station logger.info("number of stations found: %i" % len(nsl_to_station)) # station weeding nsls_selected = None if options.nstations_wanted: stations_all = [ nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys()) ] for s in stations_all: s.set_event_relative_data(event) stations_selected = weeding.weed_stations(stations_all, options.nstations_wanted)[0] nsls_selected = set(s.nsl() for s in stations_selected) logger.info("number of stations selected: %i" % len(nsls_selected)) have_data = set() if options.continue_: fns = glob.glob(fn_template_raw % starfill()) p = pile.make_pile(fns) else: fns = [] have_data_site = {} could_have_data_site = {} for site in sites: have_data_site[site] = set() could_have_data_site[site] = set() available_through = defaultdict(set) it = 0 nt = int(math.ceil((tmax - tmin) / tinc)) for it in range(nt): tmin_win = tmin + it * tinc tmax_win = min(tmin + (it + 1) * tinc, tmax) logger.info("time window %i/%i (%s - %s)" % (it + 1, nt, util.tts(tmin_win), util.tts(tmax_win))) have_data_this_window = set() if options.continue_: trs_avail = p.all(tmin=tmin_win, tmax=tmax_win, load_data=False) for tr in trs_avail: have_data_this_window.add(tr.nslc_id) for site, sx in zip(sites, sxs): if sx is None: continue selection = [] channels = sx.choose_channels( target_sample_rate=target_sample_rate, priority_band_code=priority_band_code, priority_units=priority_units, priority_instrument_code=priority_instrument_code, timespan=(tmin_win, tmax_win), ) for nslc in sorted(channels.keys()): if nsls_selected is not None and nslc[:3] not in nsls_selected: continue could_have_data_site[site].add(nslc) if nslc not in have_data_this_window: channel = channels[nslc] if event: lat_, lon_ = event.lat, event.lon else: lat_, lon_ = lat, lon dist = orthodrome.distance_accurate50m_numpy( lat_, lon_, channel.latitude.value, channel.longitude.value) if event: depth_ = event.depth time_ = event.time else: depth_ = None time_ = None tmin_, tmax_ = timewindow(time_, dist, depth_) tmin_this = tmin_ - tpad tmax_this = tmax_ + tpad tmin_req = max(tmin_win, tmin_this) tmax_req = min(tmax_win, tmax_this) if channel.sample_rate: deltat = 1.0 / channel.sample_rate.value else: deltat = 1.0 if tmin_req < tmax_req: # extend time window by some samples because otherwise # sometimes gaps are produced selection.append(nslc + (tmin_req - deltat * 10.0, tmax_req + deltat * 10.0)) if options.dry_run: for (net, sta, loc, cha, tmin, tmax) in selection: available_through[net, sta, loc, cha].add(site) else: neach = 100 i = 0 nbatches = ((len(selection) - 1) // neach) + 1 while i < len(selection): selection_now = selection[i:i + neach] f = tempfile.NamedTemporaryFile() try: sbatch = "" if nbatches > 1: sbatch = " (batch %i/%i)" % ( (i // neach) + 1, nbatches) logger.info("downloading data (%s)%s" % (site, sbatch)) data = fdsn.dataselect(site=site, selection=selection_now, **get_user_credentials(site)) while True: buf = data.read(1024) if not buf: break f.write(buf) f.flush() trs = io.load(f.name) for tr in trs: if tr.station == "7869": tr.station = "MOER" tr.network = "LE" tr.location = "" try: tr.chop(tmin_win, tmax_win) have_data.add(tr.nslc_id) have_data_site[site].add(tr.nslc_id) except trace.NoData: pass fns2 = io.save(trs, fn_template_raw) io.save(trs, fn_template_raw_folder) for fn in fns2: if fn in fns: logger.warn("overwriting file %s", fn) fns.extend(fns2) except fdsn.EmptyResult: pass except HTTPError: logger.warn("an error occurred while downloading data " "for channels \n %s" % "\n ".join(".".join(x[:4]) for x in selection_now)) f.close() i += neach if options.dry_run: nslcs = sorted(available_through.keys()) all_channels = defaultdict(set) all_stations = defaultdict(set) def plural_s(x): return "" if x == 1 else "s" for nslc in nslcs: sites = tuple(sorted(available_through[nslc])) logger.info("selected: %s.%s.%s.%s from site%s %s" % (nslc + (plural_s(len(sites)), "+".join(sites)))) all_channels[sites].add(nslc) all_stations[sites].add(nslc[:3]) nchannels_all = 0 nstations_all = 0 for sites in sorted(all_channels.keys(), key=lambda sites: (-len(sites), sites)): nchannels = len(all_channels[sites]) nstations = len(all_stations[sites]) nchannels_all += nchannels nstations_all += nstations logger.info("selected (%s): %i channel%s (%i station%s)" % ( "+".join(sites), nchannels, plural_s(nchannels), nstations, plural_s(nstations), )) logger.info("selected total: %i channel%s (%i station%s)" % ( nchannels_all, plural_s(nchannels_all), nstations_all, plural_s(nstations_all), )) logger.info("dry run done.") sys.exit(0) for nslc in have_data: # if we are in continue mode, we have to guess where the data came from if not any(nslc in have_data_site[site] for site in sites): for site in sites: if nslc in could_have_data_site[site]: have_data_site[site].add(nslc) sxs = {} for site in sites: selection = [] for nslc in sorted(have_data_site[site]): selection.append(nslc + (tmin - tpad, tmax + tpad)) if selection: logger.info("downloading response information (%s)" % site) sxs[site] = fdsn.station(site=site, level="response", selection=selection) sited = site if site == "http://192.168.11.220:8080": sited = "bgr_internal" elif site == "http://ws.gpi.kit.edu": sited = "kit" if site == "http://188.246.25.142:8080": sited = "moer" sxs[site].dump_xml(filename=op.join(output_dir, "stations.%s.xml" % sited)) # chapter 1.5: inject local data if options.local_data: have_data_site["local"] = set() plocal = pile.make_pile(options.local_data, fileformat="detect") for traces in plocal.chopper_grouped(gather=lambda tr: tr.nslc_id, tmin=tmin, tmax=tmax, tinc=tinc): for tr in traces: if tr.station == "7869": tr.station = "MOER" tr.network = "LE" tr.location = "" if tr.nslc_id not in have_data: fns.extend(io.save(traces, fn_template_raw)) have_data_site["local"].add(tr.nslc_id) have_data.add(tr.nslc_id) sites.append("local") if options.local_responses_pz: sxs["local"] = epz.make_stationxml( epz.iload(options.local_responses_pz)) if options.local_responses_resp: local_stations = [] for fn in options.local_stations: local_stations.extend(model.load_stations(fn)) sxs["local"] = resp.make_stationxml( local_stations, resp.iload(options.local_responses_resp)) if options.local_responses_stationxml: sxs["local"] = stationxml.load_xml( filename=options.local_responses_stationxml) # chapter 1.6: dump raw data stations file nsl_to_station = {} for site in sites: if site in sxs: stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax)) for s in stations: nsl = s.nsl() if nsl not in nsl_to_station: nsl_to_station[nsl] = s stations = [nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys())] util.ensuredirs(fn_stations_raw) model.dump_stations(stations, fn_stations_raw) dump_commandline(sys.argv, fn_commandline) # chapter 2: restitution if not fns: logger.error("no data available") sys.exit(1) p = pile.make_pile(fns, show_progress=False) p.get_deltatmin() otinc = None if otinc is None: otinc = nice_seconds_floor(p.get_deltatmin() * 500000.0) otinc = 3600.0 otmin = math.floor(p.tmin / otinc) * otinc otmax = math.ceil(p.tmax / otinc) * otinc otpad = tpad * 2 fns = [] rest_traces_b = [] win_b = None for traces_a in p.chopper_grouped(gather=lambda tr: tr.nslc_id, tmin=otmin, tmax=otmax, tinc=otinc, tpad=otpad): rest_traces_a = [] win_a = None for tr in traces_a: if tr.station == "7869": tr.station = "MOER" tr.network = "LE" tr.location = "" win_a = tr.wmin, tr.wmax if win_b and win_b[0] >= win_a[0]: fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest)) rest_traces_b = [] win_b = None response = None failure = [] for site in sites: try: if site not in sxs: continue response = sxs[site].get_pyrocko_response( tr.nslc_id, timespan=(tr.tmin, tr.tmax), fake_input_units=output_units, ) break except stationxml.NoResponseInformation: failure.append("%s: no response information" % site) except stationxml.MultipleResponseInformation: failure.append("%s: multiple response information" % site) if response is None: failure = ", ".join(failure) else: failure = "" try: rest_tr = tr.transfer(tfade, ftap, response, invert=True) rest_traces_a.append(rest_tr) except (trace.TraceTooShort, trace.NoData): failure = "trace too short" if failure: logger.warn("failed to restitute trace %s.%s.%s.%s (%s)" % (tr.nslc_id + (failure, ))) if rest_traces_b: rest_traces = trace.degapper(rest_traces_b + rest_traces_a, deoverlap="crossfade_cos") fns.extend(cut_n_dump(rest_traces, win_b, fn_template_rest)) rest_traces_a = [] if win_a: for tr in rest_traces: if tr.station == "7869": tr.station = "MOER" tr.network = "LE" tr.location = "" try: rest_traces_a.append( tr.chop(win_a[0], win_a[1] + otpad, inplace=False)) except trace.NoData: pass rest_traces_b = rest_traces_a win_b = win_a fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest)) # chapter 3: rotated restituted traces for inspection if not event: sys.exit(0) fn_template1 = "DISPL.%(network)s.%(station)s.%(location)s.%(channel)s" fn_waveforms = op.join(output_dir, "prepared", fn_template1) fn_stations = op.join(output_dir, "stations.prepared.txt") fn_event = op.join(event_dir, "event.txt") nsl_to_station = {} for site in sites: if site in sxs: stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax)) for s in stations: nsl = s.nsl() if nsl not in nsl_to_station: nsl_to_station[nsl] = s p = pile.make_pile(fns, show_progress=False) deltat = None if sample_rate is not None: deltat = 1.0 / sample_rate used_stations = [] for nsl, s in nsl_to_station.items(): s.set_event_relative_data(event) traces = p.all(trace_selector=lambda tr: tr.nslc_id[:3] == nsl) keep = [] for tr in traces: if deltat is not None: try: tr.downsample_to(deltat, snap=True, allow_upsample_max=5) keep.append(tr) except util.UnavailableDecimation as e: logger.warn("Cannot downsample %s.%s.%s.%s: %s" % (tr.nslc_id + (e, ))) continue if options.out_components == "rtu": pios = s.guess_projections_to_rtu(out_channels=("R", "T", "Z")) elif options.out_components == "enu": pios = s.guess_projections_to_enu(out_channels=("E", "N", "Z")) else: assert False for (proj, in_channels, out_channels) in pios: proc = trace.project(traces, proj, in_channels, out_channels) for tr in proc: for ch in out_channels: if ch.name == tr.channel: s.add_channel(ch) if proc: io.save(proc, fn_waveforms) used_stations.append(s) stations = list(used_stations) util.ensuredirs(fn_stations) model.dump_stations(stations, fn_stations) model.dump_events([event], fn_event) logger.info("prepared waveforms from %i stations" % len(stations))
sx = fdsn.station( site=site, latitude=lat, longitude=lon, minradius=rmin, maxradius=rmax, startbefore=tmin, endafter=tmax, channel=channel_pattern, format='text', level='channel', includerestricted=False) return sx.get_pyrocko_stations() site = 'iris' stations_iris = get_stations(site, event.lat,event.lon,minDist, maxDist,tmin,tmax, 'BHZ') nstations_iris = [s for s in stations_iris] selection_iris = fdsn.make_data_selection(nstations_iris, tmin, tmax) request_waveform_iris = fdsn.dataselect(site=site, selection=selection_iris) # write the incoming data stream to 'traces.mseed' with open(os.path.join(sdspath,'traces_iris.mseed'), 'wb') as file: file.write(request_waveform_iris.read()) print('traces written') # request meta data traces_iris = io.load(os.path.join(sdspath,'traces_iris.mseed')) stations_real_iris = [] gaps= [] for tr in traces_iris: for st in stations_iris: if tr.station == st.station and tr.location == st.location: stations_real_iris.append(st) gaps.append(st.station)
def call(self): '''Main work routine of the snuffling.''' self.cleanup() view = self.get_viewer() tmin, tmax = view.get_time_range() if self.useevent: markers = view.selected_markers() if len(markers) != 1: self.fail('Exactly one marker must be selected.') marker = markers[0] if not isinstance(marker, EventMarker): self.fail('An event marker must be selected.') ev = marker.get_event() lat, lon = ev.lat, ev.lon else: lat, lon = self.lat, self.lon site = self.datacenter.lower() try: kwargs = {} if site == 'iris': kwargs['matchtimeseries'] = True sx = fdsn.station( site=site, latitude=lat, longitude=lon, minradius=self.minradius, maxradius=self.maxradius, startbefore=tmin, endafter=tmax, channel=self.channel_pattern, format='text', level='channel', includerestricted=False, **kwargs) except fdsn.EmptyResult: self.fail('No stations matching given criteria.') stations = sx.get_pyrocko_stations() networks = set([s.network for s in stations]) t2s = util.time_to_str dir = self.tempdir() fns = [] for net in networks: nstations = [s for s in stations if s.network == net] selection = fdsn.make_data_selection(nstations, tmin, tmax) if selection: for x in selection: logger.info( 'Adding data selection: %s.%s.%s.%s %s - %s' % (tuple(x[:4]) + (t2s(x[4]), t2s(x[5])))) try: d = fdsn.dataselect(site=site, selection=selection) fn = pjoin(dir, 'data-%s.mseed' % net) f = open(fn, 'wb') f.write(d.read()) f.close() fns.append(fn) except fdsn.EmptyResult: pass all_traces = [] for fn in fns: try: traces = list(io.load(fn)) all_traces.extend(traces) except io.FileLoadError as e: logger.warning('File load error, %s' % e) if all_traces: newstations = [] for sta in stations: if not view.has_station(sta): logger.info( 'Adding station: %s.%s.%s' % (sta.network, sta.station, sta.location)) newstations.append(sta) view.add_stations(newstations) for tr in all_traces: logger.info( 'Adding trace: %s.%s.%s.%s %s - %s' % (tr.nslc_id + (t2s(tr.tmin), t2s(tr.tmax)))) self.add_traces(all_traces) self.current_stuff = (all_traces, stations) else: self.current_stuff = None self.fail('Did not get any data for given selection.')