def get_event_radius(minradius, maxradius, minmag):
'''
Get all the events in time range
Return:
Event catalog
'''
maxlatitude = para["Map Info"].getfloat("maxlatitude")
minlatitude = para["Map Info"].getfloat("minlatitude")
maxlongitude = para["Map Info"].getfloat("maxlongitude")
minlongitude = para["Map Info"].getfloat("minlongitude")
cat = client.get_events(
starttime=para["Station Info"].get("starttime", "19900101T00:00:00"),
endtime=para["Station Info"].get("endtime", UTCDateTime.now()),
latitude=(maxlatitude+minlatitude) / 2,
longitude=(maxlongitude+minlongitude) / 2,
minradius=minradius,
maxradius=maxradius,
minmagnitude=minmag)
for event in cat:
extra = {"downloaded": {"value": "False",
"namespace":"http://test.org/xmlns/1.0"}}
event.extra = extra
if para["Save Data"].getboolean("eventcatlog"):
cat.write(f'{para["DEFAULT"].get("projdir")}/evcatalog.xml', format="QUAKEML")
return cat
def __init__(self,
trace,
time,
name='',
comments='',
method=method_other,
aic=None,
n0_aic=None,
*args, **kwargs):
self.trace = trace
if time < 0 or time >= len(self.trace.signal):
raise ValueError("Event position must be a value between 0 and %d"
% len(self.trace.signal))
self.stime = time
self.name = name
self.method = method
self.aic = aic
self.n0_aic = n0_aic
super(ApasvoEvent, self).__init__(time=self.time,
method_id=ResourceIdentifier(method),
creation_info=CreationInfo(
author=kwargs.get('author', ''),
agency_id=kwargs.get('agency', ''),
creation_time=UTCDateTime.now(),
),
waveform_id=WaveformStreamID(
network_code=self.trace.stats.get('network', ''),
station_code=self.trace.stats.get('station', ''),
location_code=self.trace.stats.get('location', ''),
channel_code=self.trace.stats.get('channel', ''),
),
*args,
**kwargs)
self.comments = comments
def get_station():
'''
Get the info of all available networks and stations satisfying requirements
Return:
station inventory
'''
Netinv = client.get_stations(
network = para["Station Info"].get("network", "*"),
station = para["Station Info"].get("station", "*"),
channel = para["Station Info"].get("channelpri", "*"),
starttime = para["Station Info"].get("starttime", "19900101T00:00:00"),
endtime = para["Station Info"].get("endtime", UTCDateTime.now()),
maxlatitude = para["Map Info"].getfloat("maxlatitude"),
minlatitude = para["Map Info"].getfloat("minlatitude"),
maxlongitude = para["Map Info"].getfloat("maxlongitude"),
minlongitude = para["Map Info"].getfloat("minlongitude")
)
filter_net = para["Station Info"].get("network_filter").split(",")
for net in filter_net:
Netinv = Netinv.remove(network=net)
if para["Save Data"].getboolean("stationinfo"):
Netinv.write(f'{para["DEFAULT"].get("projdir")}/station.txt', format="STATIONTXT", level='station')
return Netinv
def _get_nettime(nw):
'''
Calculate the time range of each network for downloading
Return:
starttime, endtime
'''
nwbegin = min([sta.start_date for sta in nw.stations])
if None in [sta.end_date for sta in nw.stations]:
nwend = UTCDateTime.now()
else:
nwend = max([sta.end_date for sta in nw.stations])
return max(nwbegin, UTCDateTime(para["Station Info"].get("starttime"))), min(nwend, UTCDateTime(para["Station Info"].get("endtime")))
def shakeview(request):
DEFAULTSTATION = 'NE.ORNO.00.HHZ'
try:
if request.GET['sta'] == 'AM.R6A3B.00.EHZ':
DEFAULTSTATION = request.GET['sta']
if request.GET['sta'] == 'AM.R35E7.00.SHZ':
DEFAULTSTATION = request.GET['sta']
if request.GET['sta'] == 'AM.RCB43.00.SHZ':
DEFAULTSTATION = request.GET['sta']
if request.GET['sta'] == 'AM.R4989.00.EHZ':
DEFAULTSTATION = request.GET['sta']
if request.GET['sta'] == 'NE.ORNO.00.HHZ':
DEFAULTSTATION = request.GET['sta']
except MultiValueDictKeyError as e:
pass
JULIANDATE = UTCDateTime.now().strftime('%Y.%j')
AVAIL = '/media/shakedown/avail/%s.png' % JULIANDATE
HELI = '/media/shakedown/cronplots/%s.%s-heli.png' % (DEFAULTSTATION, JULIANDATE)
SPEC = '/media/shakedown/cronplots/%s.%s-spec.png' % (DEFAULTSTATION, JULIANDATE)
SPECBP = '/media/shakedown/cronplots/%s.%s-spec-band.png' % (DEFAULTSTATION, JULIANDATE)
HELIBP = '/media/shakedown/cronplots/%s.%s-heli-band.png' % (DEFAULTSTATION, JULIANDATE)
try:
lmtime = os.path.getmtime('/var/www/nezsite/nezsite/nezsite/media/shakedown/cronplots/%s.%s-heli.png' % (DEFAULTSTATION, JULIANDATE))
except OSError:
lmtime = 0
mtime = datetime.utcfromtimestamp(lmtime)
context = {
'sta': DEFAULTSTATION,
'heli': HELI,
'spec': SPEC,
'helibp': HELIBP,
'specbp': SPECBP,
'avail': AVAIL,
'mtime': mtime,
'time': timezone.now(),
'page': 'Seismic Monitor',
}
return render(request, 'shake/shake.html', context)
def __init__(self,
trace,
time,
name='',
comments='',
method=method_other,
phase_hint=None,
polarity='undecidable',
aic=None,
n0_aic=None,
*args, **kwargs):
self.trace = trace
if time < 0 or time >= len(self.trace.signal):
raise ValueError("Event position must be a value between 0 and %d"
% len(self.trace.signal))
self.stime = time
self.name = name
self.method = method
self.aic = aic
self.n0_aic = n0_aic
phase_hint = phase_hint if phase_hint in PHASE_VALUES else PHASE_VALUES[0]
super(ApasvoEvent, self).__init__(time=self.time,
method_id=ResourceIdentifier(method),
phase_hint=phase_hint,
polarity=polarity,
creation_info=CreationInfo(
author=kwargs.get('author', ''),
agency_id=kwargs.get('agency', ''),
creation_time=UTCDateTime.now(),
),
waveform_id=WaveformStreamID(
network_code=self.trace.stats.get('network', ''),
station_code=self.trace.stats.get('station', ''),
location_code=self.trace.stats.get('location', ''),
channel_code=self.trace.stats.get('channel', ''),
),
*args,
**kwargs)
self.comments = comments
def addStreams(self, event, streams, label=None):
"""Add a sequence of StationStream objects to an ASDF file.
Args:
event (Event):
Obspy event object.
streams (list):
List of StationStream objects.
label (str):
Label to attach to stream sequence. Cannot contain an
underscore.
"""
if label is not None:
if '_' in label:
raise ValueError(
'Stream label cannot contain an underscore.')
# To allow for multiple processed versions of the same Stream
# let's keep a dictionary of stations and sequence number.
eventid = _get_id(event)
if not self.hasEvent(eventid):
self.addEvent(event)
# Creating a new provenance document and filling in the software
# information for every trace can be slow, so here we create a
# base provenance document that will be copied and used as a template
base_prov = prov.model.ProvDocument()
base_prov.add_namespace(*NS_SEIS)
base_prov = _get_person_agent(base_prov)
base_prov = _get_software_agent(base_prov)
logging.debug(streams)
for stream in streams:
station = stream[0].stats['station']
logging.info('Adding waveforms for station %s' % station)
# is this a raw file? Check the trace for provenance info.
is_raw = not len(stream[0].getProvenanceKeys())
if label is None:
tfmt = '%Y%m%d%H%M%S'
tnow = UTCDateTime.now().strftime(tfmt)
label = 'processed%s' % tnow
tag = '{}_{}'.format(eventid, label)
if is_raw:
level = 'raw'
else:
level = 'processed'
self.dataset.add_waveforms(stream, tag=tag, event_id=event)
# add processing provenance info from traces
if level == 'processed':
provdocs = stream.getProvenanceDocuments(base_prov)
for provdoc, trace in zip(provdocs, stream):
provname = format_nslct(trace.stats, tag)
self.dataset.add_provenance_document(
provdoc,
name=provname
)
# add processing parameters from streams
jdict = {}
for key in stream.getStreamParamKeys():
value = stream.getStreamParam(key)
jdict[key] = value
if len(jdict):
# NOTE: We would store this dictionary just as
# the parameters dictionary, but HDF cannot handle
# nested dictionaries.
# Also, this seems like a lot of effort
# just to store a string in HDF, but other
# approaches failed. Suggestions are welcome.
jdict = _stringify_dict(jdict)
jsonbytes = json.dumps(jdict).encode('utf-8')
jsonarray = np.frombuffer(jsonbytes, dtype=np.uint8)
dtype = 'StreamProcessingParameters'
parampath = '/'.join([
format_netsta(stream[0].stats),
format_nslit(stream[0].stats, stream.get_inst(), tag)
])
self.dataset.add_auxiliary_data(
jsonarray,
data_type=dtype,
path=parampath,
parameters={}
)
# add processing parameters from traces
for trace in stream:
procname = '/'.join([format_netsta(trace.stats),
format_nslct(trace.stats, tag),
])
jdict = {}
for key in trace.getParameterKeys():
value = trace.getParameter(key)
jdict[key] = value
if len(jdict):
# NOTE: We would store this dictionary just as
# the parameters dictionary, but HDF cannot handle
# nested dictionaries.
# Also, this seems like a lot of effort
# just to store a string in HDF, but other
# approached failed. Suggestions are welcome.
jdict = _stringify_dict(jdict)
jsonbytes = json.dumps(jdict).encode('utf-8')
jsonarray = np.frombuffer(jsonbytes, dtype=np.uint8)
dtype = 'TraceProcessingParameters'
self.dataset.add_auxiliary_data(
jsonarray,
data_type=dtype,
path=procname,
parameters={}
)
# Some processing data is computationally intensive to
# compute, so we store it in the 'Cache' group.
for specname in trace.getCachedNames():
spectrum = trace.getCached(specname)
# we expect many of these specnames to
# be joined with underscores.
name_parts = specname.split('_')
base_dtype = ''.join([part.capitalize()
for part in name_parts])
for array_name, array in spectrum.items():
path = base_dtype + array_name.capitalize() \
+ "/" + procname
try:
self.dataset.add_auxiliary_data(
array,
data_type='Cache',
path=path,
parameters={}
)
except BaseException:
pass
inventory = stream.getInventory()
self.dataset.add_stationxml(inventory)
station_list=[]
# here we collect station names but maybe ID is more appropriate in case of having the same station names
# in different deployments
for i in xrange(len(selected_stream)):
station_list.append(selected_stream[i].stats.station)
net = selected_stream[i].stats.network
pdffile = net + '-' + rf_type.strip() + '-rf-vespagrams.pdf'
exists = os.path.isfile(pdffile)
if exists:
# we add the time stamp to identify the file that can be read in linux command line as date -d @number (date -d @1542926631)
pdffile = net + '-' + rf_type.strip() + '-' + str(int(UTC.now()._get_timestamp())) + '-rf-vespagrams.pdf'
pdf = PdfPages(pdffile)
pdf.attach_note(rf_type+filter_type+' '+str(freqmin)+'-'+str(freqmax)+' Hz')
d = pdf.infodict()
d['Title'] = rf_type+'RF vespagrams of '+net+' network'
d['Keywords'] = rf_type+filter_type+' '+str(freqmin)+'-'+str(freqmax)+' Hz'
station_list=np.unique(np.array(station_list))
print("Gathered ",len(station_list)," stations")
# Define layout of the page outer_grid
columns=3
rows=2
frame=0
figure=1
import os
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from obspy import read
from obspy.core.utcdatetime import UTCDateTime
from datetime import datetime
import pytz
net = 'AM' # network. usually AM "amateur"
sta = 'R0000' # station callsign. 5 uppercase alphanumeric characters beginning with R
ch = 'SHZ' # channel. should be either SHZ or EHZ depending on the model
loc = '00' # location. usually 00
now = UTCDateTime.now()
yr = now.year
day = now.strftime('%Y.%j')
skip = 60 * 5 # the number of seconds to skip back
short = now - (60*5) # datetime of analysis stary
tz = int(datetime.now(pytz.timezone('America/New_York')).strftime('%z'))/100
fmin = 0.1 # min frequency
fmax = 25 # max freq (should not exceed 25)
fminbp = 0.7 # lower bandpass limit
fmaxbp = 2 # upper bandpass limit
# output locations and filenames
outdir = '/opt/data/obs'
heli = os.path.join(outdir, day + '.png')
heliband = os.path.join(outdir, day + '-lowband.png')
spec = os.path.join(outdir, 'spec.png')
station_list = []
# here we collect station names but maybe ID is more appropriate in case of having the same station names in different deployments
for i in xrange(len(selected_stream)):
station_list.append(selected_stream[i].stats.station.encode('utf-8'))
net = selected_stream[i].stats.network.encode('utf-8')
pdffile = net + '-' + rf_type.strip() + '-rf-vespagrams.pdf'
exists = os.path.isfile(pdffile)
if exists:
# we add the time stamp to identify the file that can be read in linux command line as date -d @number (date -d @1542926631)
pdffile = net + '-' + rf_type.strip() + '-' + str(
int(UTC.now()._get_timestamp())) + '-rf-vespagrams.pdf'
pdf = PdfPages(pdffile)
pdf.attach_note(rf_type + filter_type + ' ' + str(freqmin) + '-' +
str(freqmax) + ' Hz')
d = pdf.infodict()
d['Title'] = rf_type + 'RF vespagrams of ' + net + ' network'
d['Keywords'] = rf_type + filter_type + ' ' + str(freqmin) + '-' + str(
freqmax) + ' Hz'
station_list = np.unique(np.array(station_list))
print "Gathered ", len(station_list), " stations"
# Define layout of the page outer_grid
columns = 3
rows = 2
def processor(sta, start, end, dbscale, filtmin, filtmax, inpath='/var/www/nezsite/nezsite/nezsite/media/seismic', OUTPATH='/var/www/nezsite/nezsite/nezsite/media/shakedown'):
#global INPATH
day = start.strftime('%Y.%j')
yday = (start - timedelta(days=1)).strftime('%Y.%j')
daystart = UTCDateTime(start.year, start.month, start.day)
dayend = daystart + timedelta(days=1)
if dayend > datetime.now():
now = UTCDateTime.now()
mins = 0
hourdelta = timedelta(hours=0)
if 14 >= now.minute >= 0:
mins = 15
elif 29 >= now.minute >= 15:
mins = 30
elif 44 >= now.minute >= 30:
mins = 45
else:
mins = 0
hourdelta = timedelta(hours=1)
now += hourdelta
dayend = UTCDateTime(now.year, now.month, now.day, now.hour, mins)
daystart = dayend - timedelta(days=1)
avail = day + '.png'
avail = os.path.join(AVAILPATH, avail)
if sta:
stn = sta
#sta = sta + '.D.'
else:
stn = str(STA_DEF[0:-2])
#sta = STA_DEF
sta = stn
stc = stn.split('.')
net = stc[0]
sta = stc[1]
loc = stc[2]
ch = stc[3]
fn = '%s.%s.%s.%s.%s' % (sta, net, loc, ch, day)
yfn = '%s.%s.%s.%s.%s' % (sta, net, loc, ch, yday)
inpath = os.path.join(inpath, stc[0], stc[1])
if os.path.isdir(os.path.join(inpath, 'proc')):
pass
else:
os.mkdir(os.path.join(inpath, 'proc'))
shutil.copy2(os.path.join(inpath, fn), os.path.join(inpath, 'proc'))
shutil.copy2(os.path.join(inpath, yfn), os.path.join(inpath, 'proc'))
ypath = inpath
inpath = os.path.join(inpath, 'proc')
tz = int(datetime.now(pytz.timezone('America/New_York')).strftime('%z'))/100
fmin = 0.1
fmax = 25
fminbp = filtmin
fmaxbp = filtmax
if 'ORNO' in sta:
fminbp = 0.03 # 33.3 seconds
fmaxbp = 0.1 # 10 seconds
heli = os.path.join(OUTPATH, stn + '.' + day + '-heli.png')
helibp = os.path.join(OUTPATH, stn + '.' + day + '-heli-band.png')
dur, spec = '', ''
st = read().clear()
yst = st.copy()
try:
yst = read(os.path.join(ypath, yfn))
except:
print("error reading yesterday's miniSEED file. may be further errors...")
try:
st = read(os.path.join(inpath, fn))
os.remove(os.path.join(inpath, fn))
except:
print("error reading today's miniSEED file. may be further errors...")
net = str(st[0].stats.network)
sta = str(st[0].stats.station)
loc = str(st[0].stats.location)
ch = str(st[0].stats.channel)
startt = str(st[0].stats.starttime)
sr = str(st[0].stats.sampling_rate)
st = yst + st
#st.merge()
st = st.slice(starttime=daystart, endtime=dayend)
sbp = st.copy()
sbp = sbp.filter('bandpass', freqmin=fminbp, freqmax=fmaxbp, zerophase=True)
spu = st.slice(starttime=start, endtime=end)
sps = sbp.slice(starttime=start, endtime=end) # slice for bandpass spectrogram
cat = Catalog()
try:
cat.extend(read_events(pathname_or_url='/var/www/nezsite/nezsite/nezsite/media/seismic/events/evtmajor30days.xml', format='QUAKEML'))
except:
pass
try:
cat.extend(read_events(pathname_or_url='/var/www/nezsite/nezsite/nezsite/media/seismic/events/evtlocal30days.xml', format='QUAKEML'))
except:
pass
'''
# get events
client = Client("USGS")
cat = Catalog()
try:
cat += client.get_events(starttime=daystart, endtime=dayend, latitude=44.036114, longitude=-70.439856, maxradius=10)
except FDSNException:
pass
try:
cat += client.get_events(starttime=daystart, endtime=dayend, latitude=44.036114, longitude=-70.439856,
minradius=10, maxradius=15, minmagnitude=2.5)
except FDSNException:
pass
try:
cat += client.get_events(starttime=daystart, endtime=dayend, minmagnitude=6.5)
except FDSNException:
pass
'''
title = net + '.' + sta + '.' + loc + '.' + ch + ' - ' + startt + ' - rate: ' + sr
st.plot(type="dayplot", size=(1600, 1200), title=title + 'Hz - band: 0-25Hz', vertical_scaling_range=2000,
tick_format='%H:%M', outfile=heli, color=['k', 'r', 'b', 'g'], linewidth=0.3, time_offset=tz, events=cat)
sbp.plot(type="dayplot", size=(1600, 1200), title=title + 'Hz - band: '+ str(fminbp) + '-' + str(fmaxbp) + 'Hz', vertical_scaling_range=200,
tick_format='%H:%M', outfile=helibp, color=['k', 'r', 'b', 'g'], linewidth=0.3, time_offset=tz, events=cat)
#st.plot(type="dayplot", title=net + '.' + sta + '.' + loc + '.' + ch + ' - ' + startt + ' - rate: ' + sr + 'Hz - band: 0-25Hz', vertical_scaling_range=8e3, outfile=heli, color=['k', 'r', 'b', 'g'], time_offset=tz, events={'min_magnitude': 6.5})
#sbp.plot(type="dayplot", title=net + '.' + sta + '.' + loc + '.' + ch + ' - ' + startt + ' - rate: ' + sr + 'Hz - band: '+ str(fminbp) + '-' + str(fmaxbp) + 'Hz', vertical_scaling_range=7e2, outfile=helibp, color=['k', 'r', 'b', 'g'], time_offset=tz, events={'min_magnitude': 6.5})
heli = WEBPATH + os.path.split(heli)[1]
helibp = WEBPATH + os.path.split(helibp)[1]
if end:
dur = end - start
sp = spu.detrend(type='constant')
ss = sps.detrend(type='constant')
startt = str(sp[0].stats.starttime)
## ------------------------- ##
# make spectrogram figure 1
fig = plt.figure(figsize=(16,6), dpi=100)
ax1 = fig.add_axes([0.068, 0.75, 0.85, 0.2]) #[left bottom width height]
ax2 = fig.add_axes([0.068, 0.1, 0.85, 0.6], sharex=ax1)
ax3 = fig.add_axes([0.931, 0.1, 0.03, 0.6])
# labels
fig.suptitle(net + '.' + sta + '.' + loc + '.' + ch + ' - ' + startt + ' - samplerate: ' + sr + 'Hz - frequency band: 0-25 Hz')
ax1.set_ylabel('Traces')
ax2.set_xlabel('Time [s]')
ax2.set_ylabel('Frequency [Hz]')
ax3.set_ylabel('Energy density [dimensionless]') # doesn't work
# make time vector
t = np.arange(sp[0].stats.npts) / sp[0].stats.sampling_rate
# plot waveform (top subfigure)
ax1.plot(t, sp[0].data, 'k', linewidth=0.5)
# plot spectrogram (bottom subfigure)
fig = sp[0].spectrogram(show=False, axes=ax2, log=False, dbscale=dbscale, cmap='viridis')
mappable = ax2.images[0]
plt.colorbar(mappable=mappable, cax=ax3)
ax2.set_ylim(fmin, fmax)
if 'cronplots' in OUTPATH:
spec = os.path.join(OUTPATH, stn + '.' + start.strftime('%Y.%j') + "-spec.png")
else:
spec = os.path.join(OUTPATH, stn + '.' + start.strftime('%Y.%j.%H%M%S-') + str(dur) + "-spec.png")
plt.savefig(spec)
spec = WEBPATH + os.path.split(spec)[1]
## ------------------------- ##
# make spectrogram figure 2
sfig2 = plt.figure(figsize=(16,4), dpi=100)
ax1 = sfig2.add_axes([0.068, 0.600, 0.85, 0.3]) #[left bottom width height]
ax2 = sfig2.add_axes([0.068, 0.115, 0.85, 0.4], sharex=ax1)
ax3 = sfig2.add_axes([0.932, 0.115, 0.03, 0.4])
# labels
sfig2.suptitle(net + '.' + sta + '.' + loc + '.' + ch + ' - ' + startt + ' - samplerate: ' + sr + 'Hz - bandpass: '******'-' + str(fmaxbp) + ' Hz')
ax1.set_ylabel('Counts')
ax2.set_xlabel('Time [s]')
ax2.set_ylabel('Frequency [Hz]')
ax3.set_ylabel('Energy density [dimensionless]') # doesn't work
# make time vector
t = np.arange(ss[0].stats.npts) / ss[0].stats.sampling_rate
# plot waveform (top subfigure)
ax1.plot(t, ss[0].data, 'k', linewidth=0.5)
# plot spectrogram (bottom subfigure)
sfig2 = ss[0].spectrogram(show=False, axes=ax2, log=False, dbscale=dbscale, cmap='viridis')
mappable = ax2.images[0]
plt.colorbar(mappable=mappable, cax=ax3)
ax2.set_ylim(fminbp, fmaxbp)
if 'cronplots' in OUTPATH:
specbp = os.path.join(OUTPATH, stn + '.' + start.strftime('%Y.%j') + "-spec-band.png")
else:
specbp = os.path.join(OUTPATH, stn + '.' + start.strftime('%Y.%j.%H%M%S-') + str(dur) + "-spec-band.png")
plt.savefig(specbp)
specbp = WEBPATH + os.path.split(specbp)[1]
imgpaths = {
'avail': avail,
'filtmin': fminbp,
'filtmax': fmaxbp,
'heli': heli,
'helibp': helibp,
'spec': spec,
'specbp': specbp,
}
return imgpaths
def shakedown(request):
DEFAULTSTATION = 'NE.ORNO.00.HHZ'
JULIANDATE = UTCDateTime.now().strftime('%Y.%j')
AVAIL = '/media/shakedown/avail/%s.png' % JULIANDATE
HELI = '/media/shakedown/cronplots/%s.%s-heli.png' % (DEFAULTSTATION, JULIANDATE)
SPEC = '/media/shakedown/cronplots/%s.%s-spec.png' % (DEFAULTSTATION, JULIANDATE)
SPECBP = '/media/shakedown/cronplots/%s.%s-spec-band.png' % (DEFAULTSTATION, JULIANDATE)
HELIBP = '/media/shakedown/cronplots/%s.%s-heli-band.png' % (DEFAULTSTATION, JULIANDATE)
initialtime = (UTCDateTime.now() - 90).strftime('%Y%m%d%H%M%S')
initialdur = 30
initialdbscale = ''
r35e7, r4989, r6a3b, rcb43, orno = '', '', '', '', ''
sta, start, dur, end, dbscale, logscale, status = False, False, False, False, False, False, False
userstart, userdur = '', ''
filtmin, filtmax = 0.7, 2
procimg = {
'heli': HELI,
'avail': AVAIL,
'spec': SPEC,
'helibp': HELIBP,
'specbp': SPECBP,
'filtmin': filtmin,
'filtmax': filtmax,
}
try:
userstart = int(request.GET['start'])
start = datetime.strptime(str(userstart), '%Y%m%d%H%M%S')
initialtime = start.strftime('%Y%m%d%H%M%S')
try:
userdur = int(request.GET['dur'])
except (ValueError, MultiValueDictKeyError) as e:
status = e
try:
dbscale = request.GET['dbscale']
if dbscale == 'on':
dbscale = True
initialdbscale = 'checked'
else:
dbscale = False
except (ValueError, MultiValueDictKeyError) as e:
pass
try:
logscale = request.GET['logscale']
if logscale == 'on':
logscale = True
else:
logscale = False
except (ValueError, MultiValueDictKeyError) as e:
pass
try:
sta = request.GET['sta']
if 'AM.R6A3B.00.EHZ' == sta:
r6a3b = ' selected'
if 'AM.RCB43.00.SHZ' == sta:
rcb43 = ' selected'
if 'AM.R35E7.00.SHZ' == sta:
r4989 = ' selected'
if 'AM.R4989.00.EHZ' == sta:
r35e7z = ' selected'
if 'AM.ORNO.00.HHZ' == sta:
orno = ' selected'
except (ValueError, MultiValueDictKeyError) as e:
sta = False
try:
filtmin = float(request.GET['filtmin'])
filtmax = float(request.GET['filtmax'])
if filtmax < filtmin:
tmp = filtmin
filtmin = filtmax
filtmax = tmp
if filtmax >= 25:
filtmax = 25
if filtmax < 0.1:
filtmax = 0.1
if filtmin <= 0:
filtmin = 0
if filtmin > 24.9:
filtmin = 24.9
except (ValueError, MultiValueDictKeyError) as e:
filtmin = 0.7
filtmax = 2
except ValueError as e:
status = e
except MultiValueDictKeyError as e:
status = e
if userstart and userdur:
initialdur = userdur
start = UTCDateTime(start)
try:
dur = timedelta(0, userdur)
end = start + dur
procimg = processor(sta, start, end, dbscale, filtmin, filtmax)
except ValueError as e:
pass
elif userstart:
try:
end = start + timedelta(0, 60)
procimg = processor(sta, start, end, dbscale, filtmin, filtmax)
except:
pass
else:
pass
if procimg['spec']:
SPEC = procimg['spec']
AVAIL = procimg['avail']
HELI = procimg['heli']
SPECBP = procimg['specbp']
HELIBP = procimg['helibp']
filtmin = procimg['filtmin']
filtmax = procimg['filtmax']
elif procimg['heli']:
HELI = procimg['heli']
context = {
'sta': sta,
'r4989': r4989,
'r6a3b': r6a3b,
'rcb43': rcb43,
'r35e7': r35e7,
'orno': orno,
'filtmin': filtmin,
'filtmax': filtmax,
'status': status,
'form': ShakeForm,
'start': start,
'dur': dur,
'end': end,
'avail': AVAIL,
'heliimg': HELI,
'specimg': SPEC,
'helibpimg': HELIBP,
'specbpimg': SPECBP,
'initialtime': initialtime,
'initialdur': initialdur,
'initialdbscale': initialdbscale,
'time': timezone.now(),
'page': 'Shakedown - The Seismic Data Archive Browser',
}
return render(request, 'shake/shakedown.html', context)
