def convert_time(self, r):
"""
given a row in the result,
if have epoch times on 2,3: convert them to Fdsn
if have Fdsn times on 2,3: return row as it is
otherwise return -1
"""
fmt = ("%Y-%m-%dT%H:%M:%S.%fZ")
try:
earliest = dt.datetime.strptime(r[f_id['earliest']], fmt)
latest = dt.datetime.strptime(r[f_id['latest']], fmt)
return r
except TypeError:
pass
try:
# availability/availability_extent
earliest = timedoy.TimeDOY(epoch=r[f_id['earliest']])
earliest = earliest.getFdsnTime() + "Z"
latest = timedoy.TimeDOY(epoch=r[f_id['latest']])
latest = latest.getFdsnTime() + "Z"
r[f_id['earliest']] = earliest
r[f_id['latest']] = latest
except TypeError:
raise PH5AvailabilityError(
"convert_time receives list as parameter.")
except Exception:
errmsg = "The list sent to convert_time does not have epoch "\
"times at %s and %s" % (f_id['earliest'], f_id['latest'])
raise PH5AvailabilityError(errmsg)
return r
def read_json():
'''
Read all 3 json files.
Inputs:
ARGS.array_json
ARGS.event_json
ARGS.data_json
Sets:
ARRAY - A global object containing the contents of ARGS.array_json
EVENT - A global object containing the contents of ARGS.event_json
DATA - A global object containing the contents of ARGS.data_json
'''
global EVENT, ARRAY, DATA
nope = []
if not os.path.exists(ARGS.event_json):
nope.append(ARGS.event_json)
elif not os.path.exists(ARGS.array_json):
nope.append(ARGS.array_json)
elif not os.path.exists(ARGS.data_json):
nope.append(ARGS.data_json)
if len(nope) != 0:
for n in nope:
sys.stderr.write("Error: {0} not found.".format(n))
sys.exit()
EVENT = _read_json(ARGS.event_json)
ARRAY = _read_json(ARGS.array_json)
DATA = {}
# Organize DATA by DAS SN for easy lookup
D = _read_json(ARGS.data_json)
Datas = D['Data']
for Data in Datas:
if not DATA.has_key(Data['das']):
DATA[Data['das']] = []
yr, doy, hr, mn, sc = Data['first_sample'].split(':')
window_start = timedoy.TimeDOY(year=int(yr),
doy=int(doy),
hour=int(hr),
minute=int(mn),
second=float(sc))
yr, doy, hr, mn, sc = Data['last_sample'].split(':')
window_stop = timedoy.TimeDOY(year=int(yr),
doy=int(doy),
hour=int(hr),
minute=int(mn),
second=float(sc))
# Save window_start and window_stop as timedoy object
Data['window_start'] = window_start
Data['window_stop'] = window_stop
DATA[Data['das']].append(Data)
def backup(table_type, table_path, table):
''' Create a backup in kef format. File has year and doy in name.
'''
if NO_BACKUP or table.rows == []: return
tdoy = timedoy.TimeDOY(epoch=time.time())
tt = "{0:04d}{1:03d}".format(tdoy.dtobject.year, tdoy.dtobject.day)
prefix = "{0}_{1}".format(table_type, tt)
outfile = "{0}_00.kef".format(prefix)
# Do not overwite existing file
i = 1
while os.path.exists(outfile):
outfile = "{0}_{1:02d}.kef".format(prefix, i)
i += 1
# Exit if we can't write backup kef
if os.access(os.getcwd(), os.W_OK):
print "Writing table backup: {0}.".format(os.path.join(outfile))
else:
sys.stderr.write("Can't write: {0}.\nExiting!\n".format(
os.getcwd(), outfile))
sys.exit(-3)
#
try:
fh = open(outfile, 'w')
T2K.table_print(table_path, table, fh=fh)
fh.close()
except Exception as e:
sys.stderr.write("Failed to save {0}.\ne.message\nExiting!\n".format(
os.getcwd(), outfile))
sys.exit(-4)
def process_all():
'''
Process through each shot line, shot, array, station, component (channel) and print matches to stdout
'''
Events = EVENT['Events']
for Event in Events:
shot_line = Event['shot_line']
shot_line_name = "Event_t_{0:03d}".format(int(shot_line))
for event in Event['Events']:
yr, doy, hr, mn, sc = event['time'].split(':')
shot_time = timedoy.TimeDOY(year=int(yr),
doy=int(doy),
hour=int(hr),
minute=int(mn),
second=float(sc))
if ARGS.offset_secs:
shot_time = shot_time + ARGS.offset_secs
shot_id = event['id']
Arrays = ARRAY['Arrays']
for Array in Arrays:
array_name = "Array_t_{0:03d}".format(int(Array['array']))
sample_rate = Array['sample_rate']
length = 65536. / sample_rate
cut_end = shot_time + length
for station in Array['Stations']:
chan = station['chan']
das = station['das']
station_id = station['id']
seed_id = station['seed_station_name']
fs, ls, gaps = _is_in(das, shot_time, length,
1. / sample_rate)
if fs == None: fs = 'NA'
if ls == None: ls = 'NA'
if ARGS.epoch:
if fs != 'NA':
fs = str(timedoy.passcal2epoch(fs, fepoch=True))
if ls != 'NA':
ls = str(timedoy.passcal2epoch(ls, fepoch=True))
line = [
shot_line_name, shot_id,
str(shot_time.epoch(fepoch=True)),
str(cut_end.epoch(fepoch=True)), array_name,
station_id, seed_id, das,
str(chan), fs, ls
]
else:
line = [
shot_line_name, shot_id,
shot_time.getPasscalTime(ms=True),
cut_end.getPasscalTime(ms=True), array_name,
station_id, seed_id, das,
str(chan), fs, ls
]
if ARGS.csv:
print ','.join(line)
else:
print ' '.join(line)
if len(gaps) != 0:
for g in gaps:
print "\t", g[0], g[1]
def get_json_report(self, result):
today = dt.datetime.now()
now_tdoy = timedoy.TimeDOY(epoch=time.mktime(today.timetuple()))
header = '"created":"%s","datasources":' \
% now_tdoy.getFdsnTime()
arow = '"net":"%(net)s","sta":"%(sta)s","loc":"%(loc)s",'\
'"cha":"%(chan)s","quality":"",'
if self.SR_included:
arow += '"sample_rate":%(sRate)s,'
arow += '"timespans":[%(tspan)s]'
rows = []
tspan = []
try:
for i in range(len(result)):
if i != 0 and result[i - 1][:3] != result[i][:3]:
# add row and reset tspan for previous stat, loc, chan
# when there is any changes
r = result[i - 1]
v = {
"net": self.netcode,
"sta": r[f_id['sta']],
"loc": r[f_id['loc']],
"chan": r[f_id['chan']],
"tspan": ','.join(tspan)
}
if self.SR_included:
v['sRate'] = r[f_id['sRate']]
rows.append("{%s}" % (arow % v))
tspan = []
# add timespan for current processed row
r = list(result[i])
r = self.convert_time(r)
tspan.append('["%s","%s"]' %
(r[f_id['earliest']], r[f_id['latest']]))
except Exception:
raise PH5AvailabilityError(
"Wrong format result sent to get_json_report.")
if tspan != []:
r = result[-1]
v = {
"net": self.netcode,
"sta": r[f_id['sta']],
"loc": r[f_id['loc']],
"chan": r[f_id['chan']],
"tspan": ','.join(tspan)
}
if self.SR_included:
v['sRate'] = r[f_id['sRate']]
rows.append("{%s}" % arow % v)
ret = '{%s[\n%s\n]}' % (header, ',\n'.join(rows))
return ret
def read_windows_file(f):
''' Window start time Window length
YYYY:JJJ:HH:MM:SS SSSS '''
w = []
try:
fh = open(f)
except:
return w
#tdoy = TimeDoy.TimeDoy ()
while 1:
line = fh.readline()
if not line: break
line = line.strip()
if not line or line[0] == '#': continue
flds = line.split()
if len(flds) != 2:
sys.stderr.write("Error in window file: %s\n" % line)
continue
ttuple = flds[0].split(':')
if len(ttuple) != 5:
sys.stderr.write("Error in window file: %s\n" % flds[0])
continue
try:
tDOY = timedoy.TimeDOY(year=ttuple[0],
month=None,
day=None,
hour=ttuple[2],
minute=ttuple[3],
second=ttuple[4],
microsecond=0,
doy=ttuple[1],
epoch=None)
#mo, da = tdoy.getMonthDay (int (ttuple[0]), int (ttuple[1]))
#print flds[0], mo, da
#start_secs = time.mktime ((int (ttuple[0]), # Year
#mo, # Month
#da, # Day
#int (ttuple[2]), # Hour
#int (ttuple[3]), # Minute
#int (ttuple[4]), # Seconds
#-1, # Weekday
#int (ttuple[1]), # Day of year
#0)) # DST
#start_secs = int (start_secs)
start_secs = tDOY.epoch()
stop_secs = int(flds[1]) + start_secs
except Exception, e:
sys.stderr.write("Error in window file: %s\n" % line)
sys.stderr.write("%s" % e)
continue
w.append([start_secs, stop_secs])
def window_contained(e):
''' Is this event in the data we want to keep? '''
global WINDOWS
# We want to keep all the data
if WINDOWS == None:
return True
if not e:
return False
#tdoy = TimeDoy.TimeDoy ()
sample_rate = e.sampleRate
sample_count = e.sampleCount
tDOY = timedoy.TimeDOY(year=e.year,
month=None,
day=None,
hour=e.hour,
minute=e.minute,
second=int(e.seconds),
microsecond=0,
doy=e.doy,
epoch=None)
#mo, da = tdoy.getMonthDay (e.year, e.doy)
#event_start_epoch = time.mktime ((e.year,
#mo,
#da,
#e.hour,
#e.minute,
#int (e.seconds),
#-1,
#e.doy,
#0))
event_start_epoch = tDOY.epoch()
event_stop_epoch = int((float(sample_count) / float(sample_rate)) +
event_start_epoch)
for w in WINDOWS:
window_start_epoch = w[0]
window_stop_epoch = w[1]
# Window start in event KEEP
if event_start_epoch <= window_start_epoch and event_stop_epoch >= window_start_epoch:
return True
# Entire event in window KEEP
if event_start_epoch >= window_start_epoch and event_stop_epoch <= window_stop_epoch:
return True
# Event stop in window KEEP
if event_start_epoch <= window_stop_epoch and event_stop_epoch >= window_stop_epoch:
return True
return False
def str2tdoy () :
''' Convert colon separated string to epoch '''
yr, jd, hr, mn, sc, ms = map (int, t.split (":"))
us = int (ms) * 1000
tdoy = timedoy.TimeDOY (year=int (yr),
hour=int (hr),
minute=int (mn),
second=int (sc),
microsecond=us,
doy=(jd))
return tdoy
def __init__(self):
self.min = timedoy.TimeDOY(year=2019,
month=01,
day=01,
hour=0,
minute=0,
second=0,
microsecond=0,
doy=None,
epoch=None,
dtobject=None)
self.max = timedoy.TimeDOY(year=1970,
month=01,
day=01,
hour=0,
minute=0,
second=0,
microsecond=0,
doy=None,
epoch=None,
dtobject=None)
self.bar_info = []
self.shots = []
def _passcal(self, passcal_s):
flds = passcal_s.split(':')
for i in range(5):
try:
flds[i]
except BaseException:
flds.append(0)
tdoy = timedoy.TimeDOY(year=int(flds[0]),
hour=int(flds[2]),
minute=int(flds[3]),
second=int(flds[4]),
microsecond=0,
doy=int(flds[1]))
epoch_l = tdoy.epoch()
self._epoch(epoch_l)
def read_windows_file(f):
''' Window start time Window length
YYYY:JJJ:HH:MM:SS SSSS '''
w = []
try:
fh = open(f)
except BaseException:
return w
while True:
line = fh.readline()
if not line:
break
line = line.strip()
if not line or line[0] == '#':
continue
flds = line.split()
if len(flds) != 2:
LOGGER.error("Error in window file: {0}".format(line))
continue
ttuple = flds[0].split(':')
if len(ttuple) != 5:
LOGGER.error("Error in window file: {0}".format(flds[0]))
continue
tDOY = timedoy.TimeDOY(year=int(ttuple[0]),
month=None,
day=None,
hour=int(ttuple[2]),
minute=int(ttuple[3]),
second=int(ttuple[4]),
microsecond=0,
doy=int(ttuple[1]),
epoch=None)
try:
start_secs = tDOY.epoch()
stop_secs = int(flds[1]) + start_secs
except Exception as e:
LOGGER.error("Error in window file: {0}\n{1}".format(line, e))
continue
w.append([start_secs, stop_secs])
return w
def writeEvent(trace, page):
global EX, EXREC, RESP, SR
p_das_t = {}
p_response_t = {}
if SR is not None:
if trace.sampleRate != int(SR):
return
das_number = str(page.unitID)
# The gain and bit weight
p_response_t['gain/value_i'] = trace.gain
p_response_t['bit_weight/units_s'] = 'volts/count'
p_response_t['bit_weight/value_d'] = 10.0 / trace.gain / trace.fsd
n_i = RESP.match(p_response_t['bit_weight/value_d'],
p_response_t['gain/value_i'])
if n_i < 0:
n_i = RESP.next_i()
p_response_t['n_i'] = n_i
EX.ph5_g_responses.populateResponse_t(p_response_t)
RESP.update()
# Check to see if group exists for this das, if not build it
das_g, das_t, receiver_t, time_t = EXREC.ph5_g_receivers.newdas(das_number)
# Fill in das_t
p_das_t['raw_file_name_s'] = os.path.basename(F)
p_das_t['array_name_SOH_a'] = EXREC.ph5_g_receivers.nextarray('SOH_a_')
p_das_t['response_table_n_i'] = n_i
p_das_t['channel_number_i'] = trace.channel_number
p_das_t['event_number_i'] = trace.event
p_das_t['sample_count_i'] = trace.sampleCount
p_das_t['sample_rate_i'] = trace.sampleRate
p_das_t['sample_rate_multiplier_i'] = 1
p_das_t['stream_number_i'] = trace.stream_number
tDOY = timedoy.TimeDOY(year=trace.year,
month=None,
day=None,
hour=trace.hour,
minute=trace.minute,
second=int(trace.seconds),
microsecond=0,
doy=trace.doy,
epoch=None)
p_das_t['time/epoch_l'] = tDOY.epoch()
# XXX need to cross check here XXX
p_das_t['time/ascii_s'] = time.asctime(time.gmtime(
p_das_t['time/epoch_l']))
p_das_t['time/type_s'] = 'BOTH'
# XXX Should this get set???? XXX
p_das_t['time/micro_seconds_i'] = 0
# XXX Need to check if array name exists and generate unique name. XXX
p_das_t['array_name_data_a'] = EXREC.ph5_g_receivers.nextarray('Data_a_')
des = "Epoch: " + str(p_das_t['time/epoch_l']) + \
" Channel: " + str(trace.channel_number)
# XXX This should be changed to handle exceptions XXX
EXREC.ph5_g_receivers.populateDas_t(p_das_t)
# Write out array data (it would be nice if we had int24) we use int32!
EXREC.ph5_g_receivers.newarray(p_das_t['array_name_data_a'],
trace.trace,
dtype='int32',
description=des)
update_index_t_info(
p_das_t['time/epoch_l'] +
(float(p_das_t['time/micro_seconds_i']) / 1000000.),
p_das_t['sample_count_i'],
p_das_t['sample_rate_i'] / p_das_t['sample_rate_multiplier_i'])
def gather():
''' Create event gather '''
if not ARGS.stations_to_gather:
ARGS.stations_to_gather = P5.Array_t[ARGS.station_array]['order']
if ARGS.all_events:
ARGS.evt_list = P5.Event_t[ARGS.shot_line]['order']
for evt in ARGS.evt_list:
try:
if not ARGS.start_time:
event_t = P5.Event_t[ARGS.shot_line]['byid'][evt]
else:
event_t = None
logging.info("Extracting receivers for event {0:s}.".format(evt))
except Exception as e:
logging.warn("Warning: The event {0} not found.\n".format(evt))
continue
#
fh = None
# Initialize
sf = segyfactory.Ssegy(None, event_t, utm=ARGS.use_utm)
# Allow lenght of traces to be up to 2^16 samples long
sf.set_break_standard(ARGS.break_standard)
# Set external header type
sf.set_ext_header_type(ARGS.ext_header)
# Set event information
if event_t:
sf.set_event_t(event_t)
# Event time
event_tdoy = timedoy.TimeDOY(
microsecond=event_t['time/micro_seconds_i'],
epoch=event_t['time/epoch_l'])
Offset_t = P5.read_offsets_shot_order(ARGS.station_array, evt,
ARGS.shot_line)
#Offset_t = P5.calc_offsets (ARGS.station_array, evt, ARGS.shot_line)
else:
event_tdoy = evt
Offset_t = None
logging.warn("Warning: No shot to receiver distances found.")
if ARGS.seconds_offset_from_shot:
event_tdoy += ARGS.seconds_offset_from_shot
end_tdoy = event_tdoy + ARGS.length
# Event start time
start_fepoch = event_tdoy.epoch(fepoch=True)
# Trace cut end time
stop_fepoch = end_tdoy.epoch(fepoch=True)
#
#if event_t :
#Offset_t = P5.read_offsets_shot_order (ARGS.station_array, evt, ARGS.shot_line)
Array_t = P5.Array_t[ARGS.station_array]['byid']
# All channels (components) available for this array
chans_available = P5.channels_Array_t(ARGS.station_array)
# The trace sequence
i = 0
skipped_chans = 0
for sta in ARGS.stations_to_gather:
logging.info("-=" * 20)
logging.info(
"Attempting to find data for station {0}.".format(sta))
# Shot to station information
if Offset_t and Offset_t.has_key(sta):
offset_t = Offset_t[sta]
sf.set_offset_t(offset_t)
# Array geometry
if not Array_t.has_key(sta):
logging.info(
"Warning: The station {0} is not in array {1}.".format(
sta, ARGS.station_array))
continue
array_t = Array_t[sta]
# Filter out unwanted channels
chans = []
for c in ARGS.channels:
if c in chans_available:
chans.append(c)
# Create channel name for output file name
chan_name = ''
for c in chans:
chan_name += "{0}".format(c)
num_traces = len(chans) * len(ARGS.stations_to_gather)
# Loop through channels
for c in chans:
if not array_t.has_key(c):
logging.warn(
"Warning: No channel information for {0} in array {1}."
.format(c, ARGS.station_array))
skipped_chans += 1
continue
try:
# Filter out unwanted seed loc codes
if ARGS.seed_location and array_t[c][0][
'seed_location_code_s'] != ARGS.seed_location:
logging.info(
"Location code mismatch: {0}/{1}/{2}".format(
array_t[c][0]['seed_location_code_s'],
ARGS.seed_location, c))
continue
# Filter out unwanted seed channels
seed_channel_code_s = ph5api.seed_channel_code(
array_t[c][0])
if ARGS.seed_channel and seed_channel_code_s != ARGS.seed_channel:
logging.info(
"Channel code mismatch: {0}/{1}/{2}".format(
array_t[c][0]['seed_channel_code_s'],
ARGS.seed_channel, c))
continue
except:
pass
# Loop for each array_t per id_s and channel
for t in range(len(array_t[c])):
# DAS
das = array_t[c][t]['das/serial_number_s']
# Deploy time
start_epoch = array_t[c][t]['deploy_time/epoch_l']
# Pickup time
stop_epoch = array_t[c][t]['pickup_time/epoch_l']
# Is this shot within the deploy and pickup times
if not ph5api.is_in(start_epoch, stop_epoch,
event_tdoy.epoch(), end_tdoy.epoch()):
logging.info(
"Data logger {0} not deployed between {1} to {2} at {3}."
.format(array_t[c][t]['das/serial_number_s'],
event_tdoy, end_tdoy, sta))
if ARGS.deploy_pickup:
logging.info("Skipping.")
continue
# Read Das table, may already be read so don't reread it
# XXX Debug only
try:
das_or_fail = P5.read_das_t(das,
start_epoch=start_fepoch,
stop_epoch=stop_fepoch,
reread=False)
except:
logging.warn(
"Failed to read DAS: {0} between {1} and {2}.".
format(das, timedoy.epoch2passcal(start_epoch),
timedoy.epoch2passcal(stop_epoch)))
continue
if das_or_fail == None:
logging.warn(
"Failed to read DAS: {0} between {1} and {2}.".
format(das, timedoy.epoch2passcal(start_epoch),
timedoy.epoch2passcal(stop_epoch)))
continue
# Sample rate
if P5.Das_t.has_key(array_t[c][t]['das/serial_number_s']):
sr = float(
P5.Das_t[array_t[c][t]['das/serial_number_s']]
['rows'][0]['sample_rate_i']) / float(
P5.Das_t[array_t[c][t]['das/serial_number_s']]
['rows'][0]['sample_rate_multiplier_i'])
else:
sr = 0. # Oops! No data for this DAS
# Check v4 sample rate from array_t
try:
if sr != array_t[c][0]['sample_rate_i'] / float(
array_t[c][0]['sample_rate_multiplier_i']):
continue
except:
pass
### Need to check against command line sample rate here
if ARGS.sample_rate and ARGS.sample_rate != sr:
logging.warn(
"Warning: Sample rate for {0} is not {1}. Skipping."
.format(das, sr))
continue
sf.set_length_points(int(
(stop_fepoch - start_fepoch) * sr))
### Need to apply reduction velocity here
# Set cut start and stop times
cut_start_fepoch = start_fepoch
cut_stop_fepoch = stop_fepoch
if ARGS.red_vel > 0.:
try:
secs, errs = segyfactory.calc_red_vel_secs(
offset_t, ARGS.red_vel)
except Exception as e:
secs = 0.
errs = "Can not calculate reduction velocity: {0}.".format(
e.message)
for e in errs:
logging.info(e)
cut_start_fepoch += secs
cut_stop_fepoch += secs
#
sf.set_cut_start_epoch(cut_start_fepoch)
sf.set_array_t(array_t[c][t])
#
### Cut trace
# Need to pad iff multiple traces
traces = P5.cut(das,
cut_start_fepoch,
cut_stop_fepoch,
chan=c,
sample_rate=sr,
apply_time_correction=ARGS.do_time_correct)
if len(traces[0].data) == 0:
logging.warn(
"Warning: No data found for {0} for station {1}.".
format(das, sta))
continue
trace = ph5api.pad_traces(traces)
if ARGS.do_time_correct:
logging.info(
"Applied time drift correction by shifting trace by {0} samples."
.format(-1 * sr *
(trace.time_correction_ms / 1000.)))
logging.info("Correction is {0} ms.".format(
trace.time_correction_ms))
logging.info(
"Clock drift (seconds/second): {0}".format(
trace.clock.slope))
for tccomment in trace.clock.comment:
tccmt = tccomment.split('\n')
for tcc in tccmt:
logging.info("Clock comment: {0}".format(tcc))
if trace.padding != 0:
logging.warn(
"Warning: There were {0} samples of padding added to fill gap at middle or end of trace."
.format(trace.padding))
## This may be a command line option later
#if True :
#if trace.response_t :
#try :
#tmp_data = trace.data * trace.response_t['bit_weight/value_d']
#trace.data = tmp_data
#except Exception as e :
#logging.warn ("Warning: Failed to apply bit weight. {0}".format (e.message))
### Need to apply decimation here
if ARGS.decimation:
# Decimate
shift, data = decimate.decimate(
DECIMATION_FACTORS[ARGS.decimation], trace.data)
# Set new sample rate
wsr = int(sr / int(ARGS.decimation))
sf.set_sample_rate(wsr)
trace.sample_rate = wsr
# Set length of trace in samples
sf.set_length_points(len(data))
sf.length_points_all = len(data)
trace.nsamples = len(data)
trace.data = data
# Did we read any data?
if trace.nsamples == 0:
# Failed to read any data
logging.warning(
"Warning: No data for data logger {2}/{0} starting at {1}."
.format(das, trace.start_time, sta))
continue
# Read receiver and response tables
receiver_t = trace.receiver_t
if receiver_t:
sf.set_receiver_t(receiver_t)
else:
logging.warning(
"No sensor orientation found in ph5 file. Contact PIC."
)
# Read gain and bit weight
if array_t[c][t].has_key('response_table_n_i') and array_t[
c][t]['response_table_n_i'] is not -1:
response_t = P5.get_response_t_by_n_i(
int(array_t[c][t]['response_table_n_i']))
else:
response_t = trace.response_t
if response_t:
sf.set_response_t(response_t)
else:
logging.warning(
"No gain or bit weight found in ph5 file. Contact PIC."
)
# Increment line sequence
i += 1
sf.set_line_sequence(i)
sf.set_das_t(trace.das_t[0])
logging.info("=-" * 20)
logging.info("trace: {0}".format(i))
logging.info("Extracted: Station ID {0}".format(sta))
logging.info("Chan: {2} Start: {0:s}, Stop: {1:s}.".format(
event_tdoy, end_tdoy, c))
logging.info("Lat: %f Lon: %f Elev: %f %s" %
(array_t[c][t]['location/Y/value_d'],
array_t[c][t]['location/X/value_d'],
array_t[c][t]['location/Z/value_d'],
array_t[c][t]['location/Z/units_s'].strip()))
logging.info("{0}".format(array_t[c][t]['description_s']))
#
### Open SEG-Y file
#
if not fh:
if ARGS.write_stdout:
try:
fh = sys.stdout
except Exception as e:
logging.error("{0}".format(e.message))
logging.error(
"Failed to open STDOUT. Can not continue.")
sys.exit(-1)
else:
#
### Set up file naming
#
try:
nickname = P5.Experiment_t['rows'][-1][
'nickname_s']
except:
nickname = "X"
#
base = "{0}_{1}_{2}_{3}".format(
nickname, ARGS.station_array[-3:], evt,
chan_name)
outfilename = "{1:s}/{0:s}_0001.SGY".format(
base, ARGS.out_dir)
# Make sure that the name in unique
j = 1
while os.path.exists(outfilename):
j += 1
tmp = outfilename[:-8]
outfilename = "{0}{1:04d}.SGY".format(tmp, j)
# Open SEG-Y file
try:
fh = open(outfilename, 'w+')
logging.info("Opened: {0}".format(outfilename))
except Exception as e:
logging.error(
"Error: Failed to open {0}.\t{1}".format(
outfilename, e.message))
sys.stderr.write(
"Error: Failed to open {0}.\t{1}".format(
outfilename, e.message))
sys.exit()
# Write reel headers and first trace
logs = segyfactory.write_segy_hdr(
trace, fh, sf, num_traces)
# Write any messages
for l in logs:
logging.info(l)
else:
# Write trace
logs = segyfactory.write_segy(trace, fh, sf)
for l in logs:
logging.info(l)
# chan
# Traces found does not match traces expected
if i != num_traces and fh:
# Need to update reel_header
if (num_traces - skipped_chans) < i:
logging.warn(
"Warning: Wrote {0} of {1} trace/channels listed in {2}.".
format(i, num_traces - skipped_chans, ARGS.station_array))
sf.set_text_header(i)
fh.seek(0, os.SEEK_SET)
sf.write_text_header(fh)
sf.set_reel_header(i)
fh.seek(3200, os.SEEK_SET)
sf.write_reel_header(fh)
## Decimation
#if ARGS.decimation :
## Need to update reel_header
#sf.set_sample_rate (wsr)
#sf.set_length_points (trace.nsamples)
#sf.set_text_header (i)
#fh.seek (0, os.SEEK_SET)
#sf.write_text_header (fh)
#sf.set_reel_header (i)
#fh.seek (3200, os.SEEK_SET)
#sf.write_reel_header (fh)
try:
fh.close()
except AttributeError:
pass
def gather(args, p5):
''' Create receiver gather '''
for sta in args.stations_to_gather:
try:
# Read the appropriate line from Array_t
if args.station_array in p5.Array_t:
array_t = p5.Array_t[args.station_array]['byid'][sta]
else:
p5.read_array_t(args.station_array)
array_t = p5.Array_t[args.station_array]['byid'][sta]
LOGGER.info("Extracting receiver(s) at station {0:s}.".format(sta))
LOGGER.info("Found the following components:")
for c in array_t.keys():
LOGGER.info("DAS: {0} component: {1}".format(
array_t[c][0]['das/serial_number_s'], c))
LOGGER.info("Lat: {0} Lon: {1} Elev: {2}".format(
array_t[c][0]['location/Y/value_d'],
array_t[c][0]['location/X/value_d'],
array_t[c][0]['location/Z/value_d']))
LOGGER.info("{0}".format(array_t[c][0]['description_s']))
# Read the appropriate line from Das_t and get the sample rate
p5.read_das_t(array_t[c][0]['das/serial_number_s'],
array_t[c][0]['deploy_time/epoch_l'],
array_t[c][0]['pickup_time/epoch_l'])
sr = float(p5.Das_t[array_t[c][0]['das/serial_number_s']]['rows']
[0]['sample_rate_i']) / float(
p5.Das_t[array_t[c][0]['das/serial_number_s']]
['rows'][0]['sample_rate_multiplier_i'])
except KeyError as e:
LOGGER.warn(
"Warning: The station {0} not found in the current array.\n".
format(sta))
continue
i = 0 # Number of traces found
fh = None # SEG-Y file
# Get a mostly empty instance of segyfactory
sf = segyfactory.Ssegy(None, None, utm=args.use_utm)
# Set the type of extended header to write
sf.set_ext_header_type(args.ext_header)
# Should we allow traces that are 2^16 samples long
sf.set_break_standard(args.break_standard)
# Filter out un-wanted channels here
chans_available = array_t.keys()
chans = []
# Put the desired channels in the desired order
for c in args.channels:
if c in chans_available:
chans.append(c)
# Channel name for output file name
chan_name = ''
for c in chans:
chan_name += "{0}".format(c)
# Read Event_t_xxx
Event_t = p5.Event_t[args.shot_line]['byid']
order = p5.Event_t[args.shot_line]['order']
# Take a guess at the number of traces in this SEG-Y file based on
# number of shots
num_traces = len(order) * len(chans)
# Try to read offset distances (keyed on shot id's)
Offset_t = p5.read_offsets_receiver_order(args.station_array, sta,
args.shot_line)
# Loop through each shot by shot id
for o in order:
# Check event list (and also shot_range), args.evt_list, here!
if args.evt_list:
if o not in args.evt_list:
continue
# Appropriate line from Event_t
event_t = Event_t[o]
# Need to handle time offset here, args.seconds_offset_from_shot
event_tdoy = timedoy.TimeDOY(
microsecond=event_t['time/micro_seconds_i'],
epoch=event_t['time/epoch_l'])
# Adjust start time based on offset entered on command line
if args.seconds_offset_from_shot:
event_tdoy += args.seconds_offset_from_shot
end_tdoy = event_tdoy + args.length
start_fepoch = event_tdoy.epoch(fepoch=True)
stop_fepoch = end_tdoy.epoch(fepoch=True)
# Set start time in segyfactory
sf.set_cut_start_epoch(start_fepoch)
# Set event
sf.set_event_t(event_t)
# Set shot to receiver distance
sf.set_offset_t(Offset_t[o])
# Set number of samples in trace, gets reset if decimated
sf.set_length_points(int((stop_fepoch - start_fepoch) * sr))
# Loop through each channel (channel_number_i)
for c in chans:
if c not in array_t:
continue
# Filter out unwanted seed loc codes
if args.seed_location and\
array_t[c][0]['seed_location_code_s'] != args.seed_location:
LOGGER.info("Location code mismatch: {0}/{1}/{2}".format(
array_t[c][0]['seed_location_code_s'],
args.seed_location, c))
continue
# Filter out unwanted seed channels
seed_channel_code_s = ph5api.seed_channel_code(array_t[c][0])
if args.seed_channel and\
seed_channel_code_s != args.seed_channel:
LOGGER.info("Channel code mismatch: {0}/{1}/{2}".format(
array_t[c][0]['seed_channel_code_s'],
args.seed_channel, c))
continue
# DAS
das = array_t[c][0]['das/serial_number_s']
for t in range(len(array_t[c])):
# Deploy time
start_epoch = array_t[c][t]['deploy_time/epoch_l']
# Pickup time
stop_epoch = array_t[c][t]['pickup_time/epoch_l']
# Is this shot within the deploy and pickup times
if not ph5api.is_in(start_epoch, stop_epoch,
event_tdoy.epoch(), end_tdoy.epoch()):
LOGGER.info("Data logger {0} not deployed between\
{1} to {2} at {3}.".format(
array_t[c][t]['das/serial_number_s'], event_tdoy,
end_tdoy, sta))
if args.deploy_pickup:
LOGGER.info("Skipping.")
continue
# Need to apply reduction velocity here
if args.red_vel > 0.:
try:
secs, errs = segyfactory.calc_red_vel_secs(
Offset_t[o], args.red_vel)
except Exception as e:
secs = 0.
errs = [
"Can not calculate "
"reduction velocity: {0}.".format(e.message)
]
for e in errs:
LOGGER.info(e)
start_fepoch += secs
stop_fepoch += secs
# Set array_t in segyfactory
sf.set_array_t(array_t[c][t])
# Read Das table
p5.forget_das_t(das)
#
# Cut trace
#
traces = p5.cut(das,
start_fepoch,
stop_fepoch,
chan=c,
sample_rate=sr)
trace = ph5api.pad_traces(traces)
if args.do_time_correct:
LOGGER.info("Applied time drift correction by\
shifting trace by {0} samples.".format(
-1 * sr * (trace.time_correction_ms / 1000.)))
LOGGER.info("Correction is {0} ms.".format(
trace.time_correction_ms))
LOGGER.info("Clock drift (seconds/second): {0}".format(
trace.clock.slope))
for tccomment in trace.clock.comment:
tccmt = tccomment.split('\n')
for tcc in tccmt:
LOGGER.info("Clock comment: {0}".format(tcc))
if trace.nsamples == 0:
LOGGER.info("No data found for DAS "
"{0} between {1} and {2}.".format(
das, event_tdoy.getPasscalTime(),
end_tdoy.getPasscalTime()))
continue
if trace.padding != 0:
LOGGER.warn(
"Warning: There were {0} samples of padding\
added to fill gap(s) in original traces.".trace.
padding)
# Need to apply decimation here
if args.decimation:
# Decimate
shift, data = decimate.decimate(
DECIMATION_FACTORS[args.decimation], trace.data)
# Set new sample rate
wsr = int(sr / int(args.decimation))
sf.set_sample_rate(wsr)
trace.sample_rate = wsr
# Set length of trace in samples
sf.set_length_points(len(data))
trace.nsamples = len(data)
if trace.nsamples == 0:
# Failed to read any data
LOGGER.warning("Warning: No data for data\
logger {0} starting at {1}.".format(
das, trace.start_time))
continue
# Read receiver and response tables
receiver_t = trace.receiver_t
if 'response_table_n_i' in array_t[c][t] and\
array_t[c][t]['response_table_n_i'] != -1:
response_t = p5.get_response_t_by_n_i(
int(array_t[c][t]['response_table_n_i']))
else:
response_t = p5.Response_t['rows']
[trace.das_t[0]['response_table_n_i']]
# Set sort_t in segyfactory
sf.set_sort_t(
p5.get_sort_t(start_fepoch, args.station_array))
# Set das_t
sf.set_das_t(trace.das_t[0])
# Line sequence (trace number)
sf.set_line_sequence(i)
i += 1
if response_t:
sf.set_response_t(response_t)
else:
LOGGER.warning(
"No gain or bit weight found in ph5 file.")
if receiver_t:
sf.set_receiver_t(receiver_t)
else:
LOGGER.warning(
"No sensor orientation found in ph5 file.")
# Some informational logging
LOGGER.info("trace: {0}".format(i))
LOGGER.info("-=" * 20)
LOGGER.info("Extracting: Event ID %s" % event_t['id_s'])
LOGGER.info("Chan: {2} Start: {0:s}, Stop: {1:s}.".format(
event_tdoy, end_tdoy, c))
LOGGER.info("Lat: %f Lon: %f Elev:\
%f %s" % (event_t['location/Y/value_d'],
event_t['location/X/value_d'],
event_t['location/Z/value_d'],
event_t['location/Z/units_s'].strip()))
#
# Open SEG-Y file
#
if not fh:
if args.write_stdout:
try:
fh = sys.stdout
except Exception as e:
LOGGER.error("{0}".format(e.message))
LOGGER.error(
"Failed to open STDOUT. Can not continue.")
sys.exit(-1)
else:
#
# Set up file nameing
#
try:
nickname = p5.Experiment_t['rows']
[-1]['nickname_s']
except BaseException:
nickname = "X"
#
base = "{0}_{1}_{2}_{3}".format(
nickname, args.station_array[-3:], sta,
chan_name)
outfilename = "{1:s}/{0:s}_0001.SGY".format(
base, args.out_dir)
# Make sure that the name in unique
j = 1
while os.path.exists(outfilename):
j += 1
tmp = outfilename[:-8]
outfilename = "{0}{1:04d}.SGY".format(tmp, j)
# Open SEG-Y file
try:
fh = open(outfilename, 'w+')
LOGGER.info("Opened: {0}".format(outfilename))
except Exception as e:
LOGGER.error("Failed to open {0}.\t{1}".format(
outfilename, e.message))
sys.exit()
# Write reel headers and first trace
try:
logs = segyfactory.write_segy_hdr(
trace, fh, sf, num_traces)
# Write any messages
for l in logs:
LOGGER.info(l)
except segyfactory.SEGYError as e:
LOGGER.error("Header write failure.")
sys.exit()
else:
# Write trace
try:
logs = segyfactory.write_segy(trace, fh, sf)
for l in logs:
LOGGER.info(l)
LOGGER.info('=-' * 40)
except segyfactory.SEGYError as e:
LOGGER.error("Trace write failure.")
sys.exit()
# Traces found does not match traces expected
if fh and i != num_traces:
# Need to update reel_header
LOGGER.warn("Wrote {0} of {1} traces listed in {2}.".format(
i, num_traces, args.station_array))
sf.set_text_header(i)
fh.seek(0, os.SEEK_SET)
sf.write_text_header(fh)
sf.set_reel_header(i)
fh.seek(3200, os.SEEK_SET)
sf.write_reel_header(fh)
if fh:
fh.close()
def main():
global RESP, INDEX_T, CURRENT_DAS, SIZE_GUESS, F
get_args()
initializeExperiment()
logging.info("grao2ph5 {0}".format(PROG_VERSION))
logging.info("{0}".format(sys.argv))
if len(FILES) > 0:
RESP = Resp(EX.ph5_g_responses)
rows, keys = EX.ph5_g_receivers.read_index()
INDEX_T = Rows_Keys(rows, keys)
for f in FILES:
F = f
sys.stdout.write(":<Processing>: %s\n" % (f))
sys.stdout.flush()
logging.info("Processing: %s..." % f)
if f[0] == '#': continue
if f[:3] == 'WS,':
flds = f.split(',')
if len(flds) != 8: continue
deploy_flds = map(float, flds[5].split(':'))
pickup_flds = map(float, flds[6].split(':'))
tdoy0 = timedoy.TimeDOY(year=int(deploy_flds[0]),
hour=int(deploy_flds[2]),
minute=int(deploy_flds[3]),
second=deploy_flds[4],
doy=int(deploy_flds[1]))
tdoyN = timedoy.TimeDOY(year=int(pickup_flds[0]),
hour=int(pickup_flds[2]),
minute=int(pickup_flds[3]),
second=pickup_flds[4],
doy=int(pickup_flds[1]))
SIZE_GUESS = (tdoyN.epoch() - tdoy0.epoch()) * LAST_SAMPLE_RATE
#WS:net_code:station:location:channel:deploy_time:pickup_time:length
start_time = tdoy0.getFdsnTime()
while True:
if timedoy.delta(tdoy0, tdoyN) <= 0: break
stream = get_ds(flds[1], flds[2], flds[3], flds[4], start_time,
int(flds[7]))
if stream != None:
logging.info(
"Adding stream for {0}:{3} starting at {1} and ending at {2} to PH5"
.format(stream[0].stats.station,
stream[0].stats.starttime,
stream[0].stats.endtime,
stream[0].stats.channel))
updatePH5(stream)
else:
logging.info("No data found for {0} at {1}.".format(
flds[2], start_time))
time.sleep(3)
e = tdoy0.epoch(fepoch=True) + int(flds[7])
tdoy0 = timedoy.TimeDOY(epoch=e)
start_time = tdoy0.getFdsnTime()
update_external_references()
sys.stdout.write(":<Finished>: {0}\n".format(f))
sys.stdout.flush()
def writeEvent(points, event):
global EX, EXREC, RESP, SR
p_das_t = {}
p_response_t = {}
if event is None:
return
def as_ints(v):
if v >= 1:
return int(v), 1
mult = 10.0
while mult < 10000:
r = v * mult
f, i = math.modf(r)
if f * 1000.0 < 1.0:
return int(i), int(mult)
mult *= 10.0
return None, None
for c in range(NUM_CHANNELS):
if not event[c].unitID:
continue
iis = sorted(event[c].trace.keys())
for ii in iis:
if SR is not None and event[c].sampleRate is not None:
if float(event[c].sampleRate) != float(SR):
continue
das_number = event[c].unitID
if das_number is None or event[c].sampleCount == 0:
continue
try:
if event[c].gain[0] == 'x':
# Gain times
gain = int(event[c].gain[1:])
else:
# Gain dB
gain = int(event[c].gain[:-2])
except Exception as e:
LOGGER.warning("Can't determine gain from gain value '{0:s}'. "
"Exception: {1:s}".format(event[c].gain, e))
gain = 0
# The gain and bit weight
p_response_t['gain/value_i'] = gain
try:
p_response_t['bit_weight/units_s'] = '%s/count' % event[
c].bitWeight[-2:]
p_response_t['bit_weight/value_d'] = float(
event[c].bitWeight[:-2])
n_i = RESP.match(p_response_t['bit_weight/value_d'],
p_response_t['gain/value_i'])
if n_i < 0:
RESP.update()
n_i = RESP.next_i()
p_response_t['n_i'] = n_i
EX.ph5_g_responses.populateResponse_t(p_response_t)
RESP.update()
except Exception as e:
LOGGER.error("Bit weight undefined. Can't convert '{1:s}'. "
"Exception: {0:s}".format(e, event[c].bitWeight))
# Check to see if group exists for this das, if not build it
das_g, das_t, receiver_t, time_t = EXREC.ph5_g_receivers.newdas(
das_number)
# Fill in das_t
p_das_t['raw_file_name_s'] = os.path.basename(F)
p_das_t['array_name_SOH_a'] = EXREC.ph5_g_receivers.nextarray(
'SOH_a_')
p_das_t['array_name_log_a'] = EXREC.ph5_g_receivers.nextarray(
'Log_a_')
p_das_t['response_table_n_i'] = n_i
p_das_t['receiver_table_n_i'] = c
p_das_t['channel_number_i'] = event[c].channel_number + 1
p_das_t['event_number_i'] = event[c].event
# force sample rate to 1 sps or greater
irate, mult = as_ints(float(event[c].sampleRate))
p_das_t['sample_rate_i'] = irate
p_das_t['sample_rate_multiplier_i'] = mult
p_das_t['sample_count_i'] = int(event[c].sampleCount)
p_das_t['stream_number_i'] = event[c].stream_number + 1
# Note: We use the time of the first trace. This is because rtleap
# fix only changes DT packets!
tDOY = timedoy.TimeDOY(
year=event[c].trace[ii][0].year,
month=None,
day=None,
hour=event[c].trace[ii][0].hour,
minute=event[c].trace[ii][0].minute,
second=int(event[c].trace[ii][0].seconds),
microsecond=event[c].trace[ii][0].milliseconds * 1000,
doy=event[c].trace[ii][0].doy,
epoch=None)
p_das_t['time/epoch_l'] = tDOY.epoch(fepoch=False)
# XXX need to cross check here XXX
p_das_t['time/ascii_s'] = time.asctime(
time.gmtime(p_das_t['time/epoch_l']))
p_das_t['time/type_s'] = 'BOTH'
# XXX Should this get set???? XXX
p_das_t['time/micro_seconds_i'] = event[c].trace[ii][
0].milliseconds * 1000
# XXX Need to check if array name exists and generate unique
# name. XXX
p_das_t['array_name_data_a'] = EXREC.ph5_g_receivers.nextarray(
'Data_a_')
# XXX Write data XXX
t = event[c].trace[ii][0]
if DEBUG:
tcount = len(t.trace)
earray = EXREC.ph5_g_receivers.newarray(
p_das_t['array_name_data_a'], t.trace, dtype='int32')
for t in event[c].trace[ii][1:]:
if DEBUG:
tcount += len(t.trace)
earray.append(t.trace)
if DEBUG:
LOGGER.debug(
"{0} SR: {1:12.2f}sps Channel: {2} Samples: {3}/{4}".
format(tDOY,
float(irate) / float(mult),
p_das_t['channel_number_i'],
p_das_t['sample_count_i'], tcount))
# XXX This should be changed to handle exceptions XXX
p_das_t['sample_count_i'] = earray.nrows
EXREC.ph5_g_receivers.populateDas_t(p_das_t)
if p_das_t['channel_number_i'] == 1:
update_index_t_info(
p_das_t['time/epoch_l'] +
(float(p_das_t['time/micro_seconds_i']) / 1000000.),
p_das_t['sample_count_i'],
float(p_das_t['sample_rate_i']) /
float(p_das_t['sample_rate_multiplier_i']))
import os
import sys
import unittest
import logging
import time
import shutil
import tables
from mock import patch
from testfixtures import LogCapture
from ph5.utilities import fix_srm
from ph5.core import ph5api, timedoy, experiment
from ph5.core.tests.test_base import LogTestCase, TempDirTestCase
tdoy = timedoy.TimeDOY(epoch=time.time())
yeardoy = "{0:04d}{1:03d}".format(tdoy.dtobject.year, tdoy.dtobject.day)
def count_smr_0_1(filename):
# count 'sample_rate_multiplier_i=0' and 'sample_rate_multiplier_i=0'
# in filename
with open(filename, 'r') as file:
content = file.read()
smr0_no = content.count('sample_rate_multiplier_i=0')
smr1_no = content.count('sample_rate_multiplier_i=1')
return smr0_no, smr1_no
class TestFixSRM(TempDirTestCase, LogTestCase):
def test_set_logger(self):
def process_das():
''' Save trace data '''
p_response_t = {}
# Make Data_a and fill in Das_t
global EXREC, MINIPH5
EXREC = get_current_data_only(SIZE, Das)
if EXREC.filename != MINIPH5:
LOGGER.info("Opened: {0}...\n".format(EXREC.filename))
MINIPH5 = EXREC.filename
# This is gain in dB since it is from SEG-Y
try:
p_response_t['gain/value_i'] = rh['gainConst']
p_response_t['gain/units_s'] = 'dB'
p_response_t['bit_weight/value_d'] = rh['traceWeightingFactor']
p_response_t['bit_weight/units_s'] = 'Unknown'
n_i = RESP.match(
p_response_t['bit_weight/value_d'],
p_response_t['gain/value_i'])
if n_i < 0:
n_i = RESP.next_i()
p_response_t['n_i'] = n_i
EX.ph5_g_responses.populateResponse_t(p_response_t)
RESP.update()
except Exception as e:
LOGGER.warn("Bit weight or gain improperly "
"defined in SEG-Y file - {0}"
.format(e))
# Check to see if group exists for this das, if not build it
das_g, das_t, receiver_t, time_t = EXREC.ph5_g_receivers.newdas(Das)
# Build maps group (XXX)
EXREC.ph5_g_maps.newdas('Das_g_', Das)
p_das_t['array_name_log_a'] = EXREC.ph5_g_receivers.nextarray('Log_a_')
p_das_t['response_table_n_i'] = n_i
year = rh['year']
doy = rh['day']
hour = rh['hour']
minute = rh['minute']
seconds = rh['second']
tdoy = timedoy.TimeDOY(year=year,
month=None,
day=None,
hour=hour,
minute=minute,
second=seconds,
microsecond=0,
doy=doy,
epoch=None,
dtobject=None)
if SR.ext_hdr_type == 'U':
# Menlo USGS
p_das_t['time/micro_seconds_i'] = eh['start_usec']
elif SR.ext_hdr_type == 'P':
# PASSCAL
p_das_t['time/micro_seconds_i'] = int(eh['m_secs'] / 1000.)
else:
p_das_t['time/micro_seconds_i'] = 0
p_das_t['sample_count_i'] = rh['sampleLength']
sample_rate = (1. / rh['deltaSample']) * 1000000.
sample_rate, factor = as_ints(sample_rate)
p_das_t['sample_rate_i'] = int(sample_rate)
p_das_t['sample_rate_multiplier_i'] = factor
p_das_t['time/epoch_l'] = tdoy.epoch()
p_das_t['time/ascii_s'] = time.ctime(p_das_t['time/epoch_l'])
p_das_t['time/type_s'] = 'BOTH'
if rh['lineSeq'] == 0:
rh['lineSeq'] = 1
chan = 1
if CHAN3:
mm = rh['lineSeq'] % 3
if mm == 0:
chan = 3
else:
chan = mm
p_das_t['channel_number_i'] = chan
p_das_t['event_number_i'] = rh['event_number']
p_das_t['array_name_data_a'] = EXREC.ph5_g_receivers.nextarray(
'Data_a_')
EXREC.ph5_g_receivers.populateDas_t(p_das_t)
des = "Epoch: " + str(p_das_t['time/epoch_l']) + \
" Channel: " + str(p_das_t['channel_number_i'])
# Write trace data here
EXREC.ph5_g_receivers.newarray(
p_das_t['array_name_data_a'], tr, dtype=DTYPE[SR.trace_fmt],
description=des)
update_index_t_info(p_das_t['time/epoch_l'] + (
float(p_das_t['time/micro_seconds_i']) / 1000000.),
p_das_t['sample_count_i'],
p_das_t['sample_rate_i'] / p_das_t[
'sample_rate_multiplier_i'])
def gwriteEvent(points, event):
''' Create an event list with all the gaps and overlaps cleansed '''
def clone(event):
# Clone event list but without the traces
clean_event = []
for i in range(pn130.NUM_CHANNELS):
clean_event.append(pn130.Event130())
clean_event[i].bitWeight = event[i].bitWeight
clean_event[i].channel_number = event[i].channel_number
clean_event[i].doy = event[i].doy
clean_event[i].event = event[i].event
clean_event[i].gain = event[i].gain
clean_event[i].hour = event[i].hour
clean_event[i].last_sample_time = event[i].last_sample_time
clean_event[i].milliseconds = event[i].milliseconds
clean_event[i].minute = event[i].minute
clean_event[i].sampleCount = event[i].sampleCount
clean_event[i].sampleRate = event[i].sampleRate
clean_event[i].seconds = event[i].seconds
clean_event[i].stream_number = event[i].stream_number
clean_event[i].trace = {}
clean_event[i].unitID = event[i].unitID
clean_event[i].year = event[i].year
return clean_event
clean_event = clone(event)
for c in range(NUM_CHANNELS):
if not event[c].unitID:
continue
sample_rate = event[c].sampleRate
sample_interval = 1. / float(sample_rate)
tdoy1 = None
# Prepare new trace structure that allows us to break it up on gaps and
# overlaps
i = 0
clean_event[c].trace[i] = []
for t in event[c].trace:
tdoy0 = timedoy.TimeDOY(year=t.year,
month=None,
day=None,
hour=t.hour,
minute=t.minute,
second=int(t.seconds),
microsecond=t.milliseconds * 1000,
doy=t.doy,
epoch=None)
if tdoy1 is not None:
# Start of this DT packet
fepoch0 = tdoy0.epoch(fepoch=True)
# Calculated start of packet from last DT packet
fepoch1 = tdoy1.epoch(fepoch=True)
delta = fepoch1 - fepoch0
if delta < 0.:
i += 1
clean_event[c].trace[i] = []
elif delta > 0.:
i += 1
clean_event[c].trace[i] = []
clean_event[c].trace[i].append(t)
num_samples = len(t.trace)
secs = float(num_samples) * sample_interval
tdoy1 = tdoy0 + secs
event[c].trace = []
writeEvent(points, clean_event)
def get_args():
''' Read command line argments '''
global ARGS, P5
import argparse
parser = argparse.ArgumentParser()
parser.usage = "Version: %s\n" % PROG_VERSION
parser.usage += "ph5toevt --eventnumber=shot --nickname=experiment_nickname --length=seconds [--path=ph5_directory_path] [options]\n"
parser.usage += "\toptions:\n\t--array=array, --offset=seconds (float), --reduction_velocity=km-per-second (float) --format=['SEGY']\n\n"
parser.usage += "ph5toevt --allevents --nickname=experiment_nickname --length=seconds [--path=ph5_directory_path] [options]\n"
parser.usage += "\toptions:\n\t--array=array, --offset=seconds (float), --reduction_velocity=km-per-second (float) --format=['SEGY']\n\n"
parser.usage += "ph5toevt --starttime=yyyy:jjj:hh:mm:ss[:.]sss --nickname=experiment_nickname --length=seconds [--path=ph5_directory_path] [options]\n"
parser.usage += "\toptions:\n\t--stoptime=yyyy:jjj:hh:mm:ss[:.]sss, --array=array, --reduction_velocity=km-per-second (float) --format=['SEGY']\n\n"
#parser.usage += "ph5toseg --all, --nickname=experiment_nickname [--path=ph5_directory_path] [--das=das_sn] [--station=station_id] [--doy=comma seperated doy list] [options]"
parser.usage += "\n\n\tgeneral options:\n\t--channel=[1,2,3]\n\t--sample_rate_keep=sample_rate\n\t--notimecorrect\n\t--decimation=[2,4,5,8,10,20]\n\t--out_dir=output_directory"
parser.description = "Generate SEG-Y gathers in shot order..."
# Usually master.ph5
parser.add_argument("-n",
"--nickname",
dest="ph5_file_prefix",
help="The ph5 file prefix (experiment nickname).",
metavar="ph5_file_prefix",
required=True)
# Path to the directory that holds master.ph5
parser.add_argument(
"-p",
"--path",
dest="ph5_path",
help="Path to ph5 files. Defaults to current directory.",
metavar="ph5_path",
default='.')
# SEED channel
parser.add_argument("--channel",
dest="seed_channel",
help="Filter on SEED channel.",
metavar="seed_channel")
# SEED network code
parser.add_argument("--network",
dest="seed_network",
help="Filter on SEED net code.",
metavar="seed_network")
# SEED loc code
parser.add_argument("--location",
dest="seed_location",
help="Filter on SEED loc code.",
metavar="seed_location")
# Channels. Will extract in order listed here. 'Usually' 1 -> Z, 2-> N, 3 -> E
parser.add_argument(
"-c",
"--channels",
action="store",
help="List of comma seperated channels to extract. Default = 1,2,3.",
type=str,
dest="channels",
metavar="channels",
default='1,2,3')
# Extract a single event
parser.add_argument("-e",
"--eventnumber",
action="store",
dest="event_number",
type=int,
metavar="event_number")
# Event id's in order, comma seperated
parser.add_argument(
"--event_list",
dest="evt_list",
help=
"Comma separated list of event id's to gather from defined or selected events.",
metavar="evt_list")
# Extract all events in Event_t
parser.add_argument("-E",
"--allevents",
action="store_true",
dest="all_events",
help="Extract all events in event table.",
default=False)
# The shot line number, 0 for Event_t
parser.add_argument("--shot_line",
dest="shot_line",
action="store",
help="The shot line number that holds the shots.",
type=int,
metavar="shot_line")
# External shot line file
parser.add_argument(
"--shot_file",
dest="shot_file",
action="store",
help=
"Input an external kef file that contains event information, Event_t.kef.",
type=str,
metavar="shot_file")
# Extract data for all stations starting at this time
parser.add_argument("-s",
"--starttime",
action="store",
dest="start_time",
type=str,
metavar="start_time")
# The array number
parser.add_argument("-A",
"--station_array",
dest="station_array",
action="store",
help="The array number that holds the station(s).",
type=int,
metavar="station_array",
required=True)
# Length of traces to put in gather
parser.add_argument("-l",
"--length",
action="store",
required=True,
type=int,
dest="length",
metavar="length")
# Start trace at time offset from shot time
parser.add_argument(
"-O",
"--seconds_offset_from_shot",
"--offset",
metavar="seconds_offset_from_shot",
help="Time in seconds from shot time to start the trace.",
type=float,
default=0.)
# Do not time correct texan data
parser.add_argument("-N",
"--notimecorrect",
action="store_false",
default=True,
dest="do_time_correct")
# Output directory
parser.add_argument("-o",
"--out_dir",
action="store",
dest="out_dir",
metavar="out_dir",
type=str,
default=".")
# Write to stdout
parser.add_argument("--stream",
action="store_true",
dest="write_stdout",
help="Write to stdout instead of a file.",
default=False)
# Use deploy and pickup times to determine where an instrument was deployed
parser.add_argument(
"--use_deploy_pickup",
action="store_true",
default=False,
help=
"Use deploy and pickup times to determine if data exists for a station.",
dest="deploy_pickup")
# Stations to gather, comma seperated
parser.add_argument(
"-S",
"--stations",
"--station_list",
dest="stations_to_gather",
help="Comma separated list of stations to receiver gather.",
metavar="stations_to_gather",
required=False)
# Filter out all sample rates except the listed
parser.add_argument("-r",
"--sample_rate_keep",
action="store",
dest="sample_rate",
metavar="sample_rate",
type=float)
# Apply a reduction velocity, km
parser.add_argument("-V",
"--reduction_velocity",
action="store",
dest="red_vel",
help="Reduction velocity in km/sec.",
metavar="red_vel",
type=float,
default="-1.")
# Decimate data. Decimation factor
parser.add_argument("-d",
"--decimation",
action="store",
choices=["2", "4", "5", "8", "10", "20"],
dest="decimation",
metavar="decimation")
# Convert geographic coordinated in ph5 to UTM before creating gather
parser.add_argument("-U",
"--UTM",
action="store_true",
dest="use_utm",
help="Fill SEG-Y headers with UTM instead of lat/lon.",
default=False)
# How to fill in the extended trace header
parser.add_argument("-x",
"--extended_header",
action="store",
dest="ext_header",
help="Extended trace header style: \
'P' -> PASSCAL, \
'S' -> SEG, \
'U' -> Menlo USGS, \
default = U",
choices=["P", "S", "U", "I", "N"],
default="U",
metavar="extended_header_style")
# Ignore channel in Das_t. Only useful with texans
parser.add_argument("--ic",
action="store_true",
dest="ignore_channel",
default=False)
# Allow traces to be 2^16 samples long vs 2^15
parser.add_argument("--break_standard",
action="store_false",
dest="break_standard",
help="Force traces to be no longer than 2^15 samples.",
default=True)
parser.add_argument("--debug",
dest="debug",
action="store_true",
default=False)
ARGS = parser.parse_args()
#print ARGS
try:
P5 = ph5api.PH5(path=ARGS.ph5_path, nickname=ARGS.ph5_file_prefix)
except Exception as e:
sys.stderr.write("Error: Can't open {0} at {1}.".format(
ARGS.ph5_file_prefix, ARGS.ph5_path))
sys.exit(-1)
#
if ARGS.shot_file:
if not ARGS.shot_line:
sys.stderr.write(
"Error: Shot line switch, --shot_line, required when using external shot file."
)
sys.exit(-3)
external = external_file.External(ARGS.shot_file)
ARGS.shot_file = external.Event_t
P5.Event_t_names = ARGS.shot_file.keys()
else:
P5.read_event_t_names()
#
if ARGS.event_number:
ARGS.evt_list = list([str(ARGS.event_number)])
elif ARGS.evt_list:
ARGS.evt_list = map(str, ARGS.evt_list.split(','))
elif ARGS.start_time:
ARGS.start_time = timedoy.TimeDOY(
epoch=timedoy.passcal2epoch(ARGS.start_time, fepoch=True))
ARGS.evt_list = [ARGS.start_time]
#
if not ARGS.evt_list and not ARGS.all_events:
sys.stderr.write(
"Error: Required argument missing. event_number|evt_list|all_events.\n"
)
sys.exit(-1)
# Event or shot line
if ARGS.shot_line != None:
if ARGS.shot_line == 0:
ARGS.shot_line = "Event_t"
else:
ARGS.shot_line = "Event_t_{0:03d}".format(ARGS.shot_line)
#
elif not ARGS.start_time:
sys.stderr.write("Error: Shot line or start time required.")
sys.exit(-2)
# Array or station line
ARGS.station_array = "Array_t_{0:03d}".format(ARGS.station_array)
# Order of channels in gather
ARGS.channels = map(int, ARGS.channels.split(','))
# Stations to gather
if ARGS.stations_to_gather:
ARGS.stations_to_gather = map(int, ARGS.stations_to_gather.split(','))
ARGS.stations_to_gather.sort()
ARGS.stations_to_gather = map(str, ARGS.stations_to_gather)
if not os.path.exists(ARGS.out_dir):
os.mkdir(ARGS.out_dir)
os.chmod(ARGS.out_dir, 0777)
def build_recv(order, line, n):
''' order => the keys we have used from FIELD
line => the fields of the line from the field
n => the line number from original file
'''
global RECVSTN
vals = {
'ID': '',
'Station': '',
'Line': '999',
'Type': '',
'Channel': '1',
'Sensor': '',
'Uphole': '',
'Lat': '',
'Y': '',
'Lon': '',
'X': '',
'Elev': '',
'DT': '',
'DTime': '',
'PUTime': '',
'Shots': '',
'Comment': '',
'LED': '',
'DorP': '',
'n': ''
}
# Shot info in this file
if 'Shot-ID' in order:
return None
if 'Receiver-ID' not in order:
LOGGER.error("Receiver-ID needed to create dep file.\n")
return None
DTime = ''
PTime = ''
# Get deploy and pickup time
if has_time(order):
try:
if 'DTimeY:J:H:M:S' not in order and is_deploy(order, line):
yr = int(line[order['TimeYear']])
if 'TimeH:M' in order:
hr, mn = map(int, line[order['TimeH:M']].split(':'))
if 'TimeMo/Da' in order:
mo, da = map(int, line[order['TimeMo/Da']].split('/'))
tdoy = timedoy.TimeDOY(year=yr,
month=mo,
day=da,
hour=hr,
minute=mn,
second=0,
microsecond=0,
doy=None,
epoch=None,
dtobject=None)
doy = tdoy.doy()
sc = 0.0
DTime = "{0:4d}:{1:03d}:{2:02d}:{3:02d}:{4:06.3f}".format(
yr, doy, hr, mn, sc)
else:
try:
DTime = line[order['DTimeY:J:H:M:S']]
except BaseException:
DTime = None
if 'PTimeY:J:H:M:S' not in order and not is_deploy(order, line):
yr = int(line[order['TimeYear']])
if 'TimeH:M' in order:
hr, mn = map(int, line[order['TimeH:M']].split(':'))
if 'TimeMo/Da' in order:
mo, da = map(int, line[order['TimeMo/Da']].split('/'))
tdoy = timedoy.TimeDOY(year=yr,
month=mo,
day=da,
hour=hr,
minute=mn,
second=0,
microsecond=0,
doy=None,
epoch=None,
dtobject=None)
doy = tdoy.doy()
sc = 0.0
PTime = "{0:4d}:{1:03d}:{2:02d}:{3:02d}:{4:06.3f}".format(
yr, doy, hr, mn, sc)
else:
try:
PTime = line[order['PTimeY:J:H:M:S']]
except BaseException:
PTime = None
except Exception as e:
LOGGER.error("{1}:\n\tCan't convert time {0}\n".format(line, e))
return
keys = order.keys()
# Look through rest of columns
for k in keys:
try:
if k == 'Receiver-ID':
try:
vals['ID'] = int(line[order[k]])
if USE_FACE_PLATE_SN and vals['ID'] < 10000:
vals['ID'] += 10000
vals['ID'] = str(vals['ID'])
except BaseException:
vals['ID'] = line[order[k]]
elif k == 'Station':
try:
vals['Station'] = str(int(line[order[k]]))
except BaseException:
vals['Station'] = line[order[k]]
if vals['Station'] == '100':
pass
elif k == 'Line':
vals['Line'] = line[order[k]]
elif k == 'Type':
vals['Type'] = line[order[k]]
elif k == 'Channel':
vals['Channel'] = line[order[k]]
try:
int(vals['Channel'])
except ValueError:
vals['Channel'] = '1'
elif k == 'Sensor':
vals['Sensor'] = line[order[k]]
elif k == ['Uphole']:
vals['Uphole'] = line[order[k]]
elif k == 'Lat':
if DEP:
vals['Lat'] = _sign(line[order[k]], 'lat')
else:
vals['Lat'] = __sign(line[order[k]], 'lat')
elif k == 'Y':
vals['Y'] = line[order[k]]
elif k == 'Lon':
if DEP:
vals['Lon'] = _sign(line[order[k]], 'lon')
else:
vals['Lon'] = __sign(line[order[k]], 'lon')
elif k == 'X':
vals['X'] = line[order[k]]
elif k == 'Elev':
vals['Elev'] = line[order[k]]
elif k == 'Team':
vals['DT'] = line[order[k]]
elif k == 'Shots':
vals['Shots'] = line[order[k]]
elif k == 'Comment':
vals['Comment'] = line[order[k]]
elif k == 'LED':
vals['LED'] = line[order[k]]
if k == 'DorP':
vals['DorP'] = line[order[k]]
except IndexError:
pass
vals['n'] = n
vals['DTime'] = DTime
vals['PUTime'] = PTime
if int(vals['Line']) not in RECVSTN:
RECVSTN[int(vals['Line'])] = {}
tmpkey = vals['Station']
if int(vals['Station']) not in RECVSTN[int(vals['Line'])]:
RECVSTN[int(vals['Line'])][int(vals['Station'])] = {}
RECVSTN[int(vals['Line'])][int(vals['Station'])][int(
vals['Channel'])] = False
i = 0
while tmpkey in RECVQC:
tmpkey = tmpkey.split(':')[0] + ":{0}".format(i)
i += 1
rkey = "{0}:{1}".format(vals['Station'], vals['Channel'])
if rkey not in RECVKEY:
RECVKEY[rkey] = []
RECVKEY[rkey].append(tmpkey)
RECVQC[tmpkey] = vals
def process_event():
# Process channel 1 (Z)
if rh['lineSeq'] != 1:
return
# Have we already seen this event?
if rh['event_number'] in EVENT_T:
return
p_event_t = {}
p_event_t['id_s'] = rh['event_number']
year = rh['year']
doy = rh['day']
hour = rh['hour']
minute = rh['minute']
seconds = rh['second']
delay_time_secs = rh['delay'] / 1000.
if SR.ext_hdr_type == 'U':
# Menlo USGS
year = eh['shot_year']
doy = eh['shot_doy']
hour = eh['shot_hour']
minute = eh['shot_minute']
seconds = eh['shot_second']
p_event_t['time/micro_seconds_i'] = eh['shot_us']
delay_time_secs = 0.0
elif SR.ext_hdr_type == 'P':
# PASSCAL
year = eh['trigyear']
doy = eh['trigday']
hour = eh['trighour']
minute = eh['trigminute']
seconds = eh['trigsecond']
p_event_t['time/micro_seconds_i'] = int(eh['trigmills'] / 1000.)
delay_time_secs = 0.0
else:
p_event_t['time/micro_seconds_i'] = 0
tdoy = timedoy.TimeDOY(year=year,
month=None,
day=None,
hour=hour,
minute=minute,
second=seconds,
microsecond=0,
doy=doy,
epoch=None,
dtobject=None)
tmp_epoch = tdoy.epoch() + delay_time_secs
f, i = modf(tmp_epoch)
p_event_t['time/epoch_l'] = int(i)
p_event_t['time/micro_seconds_i'] = int(f / 1000000.)
p_event_t['time/ascii_s'] = time.ctime(p_event_t['time/epoch_l'])
p_event_t['time/type_s'] = 'BOTH'
if SR.ext_hdr_type == 'S':
# SEG
if eh['Spn'] != 0:
p_event_t['id_s'] = eh['Spn']
elif SR.ext_hdr_type == 'I':
# iNova
if eh['ShotID'] != 0:
p_event_t['id_s'] = eh['ShotID']
else:
# As used by PIC
if rh['energySourcePt'] != 0:
p_event_t['id_s'] = rh['energySourcePt']
coordScale = rh['coordScale']
if coordScale < 0:
coordScale = -1. / coordScale
if rh['coordUnits'] == 1:
units = MFEET[bh['mfeet']]
else:
units = CUNITS[rh['coordUnits']]
elevationScale = rh['elevationScale']
if elevationScale < 0:
elevationScale = -1. / elevationScale
p_event_t['location/X/value_d'] = rh['sourceLongOrX'] * coordScale
p_event_t['location/X/units_s'] = units
p_event_t['location/Y/value_d'] = rh['sourceLatOrY'] * coordScale
p_event_t['location/Y/units_s'] = units
p_event_t['location/Z/value_d'] =\
rh['sourceSurfaceElevation'] * elevationScale
p_event_t['location/Z/units_s'] = MFEET[bh['mfeet']]
p_event_t['depth/value_d'] = rh['sourceDepth'] * elevationScale
p_event_t['depth/units_s'] = MFEET[bh['mfeet']]
if p_event_t['id_s'] not in EVENT_T:
EVENT_T[p_event_t['id_s']] = []
EVENT_T[p_event_t['id_s']].append(p_event_t)
def build_shot(order, line, n):
vals = {
'ID': '',
'Station': '',
'Line': '999',
'Channel': '1',
'Lat': '',
'Y': '',
'Lon': '',
'X': '',
'Elev': '',
'Time': '',
'Pre': '',
'Post': '',
'SR': '',
'Depth': '',
'Size': '',
'RVel': '',
'Radius': '',
'Comment': ''
}
if 'Receiver-ID' in order:
return None
if 'Shot-ID' not in order:
# XXX Need a error dialog here XXX
LOGGER.error("Shot-ID needed to create dep file.\n")
return None
try:
if 'STimeY:J:H:M:S.s' not in order:
yr = int(line[order['STimeYear']])
if 'STimeMo' in order:
mo = int(line[order['STimeMo']])
da = int(line[order['STimeDa']])
tdoy = timedoy.TimeDOY(year=yr,
month=mo,
day=da,
hour=0,
minute=0,
second=0,
microsecond=0,
doy=None,
epoch=None,
dtobject=None)
doy = tdoy.doy()
else:
doy = int(line[order['STimeJd']])
hr = int(line[order['STimeHr']])
mn = int(line[order['STimeMn']])
if 'STimeSc' in order:
sc = float(line[order['STimeSc']])
else:
sc = 0.0
if 'STimeMs' in order:
sc += float(line[order['STimeMs']]) / 1000.
STime = "{0:4d}:{1:03d}:{2:02d}:{3:02d}:{4:06.3f}".format(
yr, doy, hr, mn, sc)
else:
STime = line[order['STimeY:J:H:M:S.s']]
except Exception as e:
LOGGER.error("{1}:\n\tCan't convert time {0}\n".format(line, e))
return
keys = order.keys()
for k in keys:
try:
if k == 'Shot-ID':
try:
vals['ID'] = str(int(line[order[k]]))
except BaseException:
vals['ID'] = line[order[k]]
elif k == 'Station':
try:
vals['Station'] = str(int(line[order[k]]))
except BaseException:
vals['Station'] = line[order[k]]
elif k == 'Line':
vals['Line'] = line[order[k]]
elif k == 'Channel':
vals['Channel'] = line[order[k]]
elif k == 'Lat':
if DEP:
vals['Lat'] = _sign(line[order[k]], 'lat')
else:
vals['Lat'] = __sign(line[order[k]], 'lat')
elif k == 'Y':
vals['Y'] = line[order[k]]
elif k == 'Lon':
if DEP:
vals['Lon'] = _sign(line[order[k]], 'lon')
else:
vals['Lon'] = __sign(line[order[k]], 'lon')
elif k == 'X':
vals['X'] = line[order[k]]
elif k == 'Elev':
vals['Elev'] = line[order[k]]
elif k == 'PreSec':
vals['Pre'] = line[order[k]]
elif k == 'PostSec':
vals['Post'] = line[order[k]]
elif k == 'SR':
vals['SR'] = line[order[k]]
elif k == 'Depth':
vals['Depth'] = line[order[k]]
elif k == 'Size':
vals['Size'] = line[order[k]]
elif k == 'RVel':
vals['RVel'] = line[order[k]]
elif k == 'Radius':
vals['Radius'] = line[order[k]]
elif k == 'Comment':
vals['Comment'] = line[order[k]]
except IndexError:
pass
vals['Time'] = STime
tmpkey = vals['Station']
i = 0
while tmpkey in SHOTQC:
tmpkey = tmpkey.split(':')[0] + ":{0}".format(i)
i += 1
SHOTQC[tmpkey] = [
vals['ID'], vals['Station'], vals['Line'], vals['Lat'], vals['Lon'],
vals['Elev'], vals['Time'], vals['Pre'], vals['Post'], vals['SR'],
vals['Depth'], vals['Size'], vals['RVel'], vals['Radius'],
vals['Comment']
]
if DEP:
return "SHOT;{0};{1};{2};{3};{4};{5};{6};{7};{8};{9};{10};{11};{12};" \
"{13};{14}"\
.format(vals['ID'],
vals['Station'],
vals['Line'],
vals['Lat'],
vals['Lon'],
vals['Elev'],
vals['Time'],
vals['Pre'],
vals['Post'],
vals['SR'],
vals['Depth'],
vals['Size'],
vals['RVel'],
vals['Radius'],
vals['Comment'])
else:
return get_event_row(vals)
def get_event_row(vals):
pass
#
# Get epoch and us
if vals['X'] and vals['Y']:
X = vals['X']
Y = vals['Y']
units = 'meters'
coordinate_system = 'arbritrary'
ellipsoid = 'unknown'
else:
X = vals['Lon']
Y = vals['Lat']
units = 'degrees'
coordinate_system = 'geodetic'
ellipsoid = 'WGS84'
yr, doy, hr, mn, sc = vals['Time'].split(':')
yr, doy, hr, mn = map(int, [yr, doy, hr, mn])
tdoy = timedoy.TimeDOY(year=yr,
month=None,
day=None,
hour=hr,
minute=mn,
second=float(sc),
microsecond=0,
doy=doy,
epoch=None,
dtobject=None)
epoch = tdoy.epoch()
us = tdoy.dtobject.microsecond
event_t = '/Experiment_g/Sorts_g/Event_t\n'
# id_s, description_s
event_t += "\tid_s = {0}\n\tdescription_s = {1}\n".format(
vals['ID'], vals['Comment'])
# time/ascii_s, time/epoch_l, time/micro_seconds_i, time/type_s
event_t += "\ttime/ascii_s = {0}\n\ttime/epoch_l = " \
"{1}\n\ttime/micro_seconds_i = {2}\n\ttime/type_s = {3}\n" \
.format(time.ctime(epoch),
int(epoch),
us,
'BOTH')
# location/X/value_d, location/X/units_s, location/Y/value_d,
# location/Y/units_s, location/Z/value_d, location/Z/units_s
event_t += "\tlocation/X/value_d = {0}\n\tlocation/X/units_s =" \
" {1}\n\tlocation/Y/value_d = {2}\n\tlocation/Y/units_s = " \
"{3}\n\tlocation/Z/value_d = {4}\n\tlocation/Z/units_s = {5}\n"\
.format(X,
units,
Y,
units,
vals['Elev'],
'meters')
# location/coordinate_system_s, location/projection_s,
# location/ellipsoid_s, location/description_s
event_t += "\tlocation/coordinate_system_s =" \
"{0}\n\tlocation/projection_s = {1}\n\tlocation/ellipsoid_s =" \
" {2}\n\tlocation/description_s = {3}\n"\
.format(coordinate_system,
'none',
ellipsoid,
vals['ID'])
# size/value_d, size/units_s, depth/value_d, depth/units_s
event_t += "\tsize/value_d = {0}\n\tsize/units_s = {1}" \
"\n\tdepth/value_d = {2}\n\tdepth/units_s = {3}"\
.format(vals['Size'],
'lbs',
vals['Depth'],
'meters')
return event_t
def get_recv_row(vals):
# Build an Array_t_xxx kef file
global RECVSTN
vals_dep, vals_pu, msg = stripdeppu(vals)
if vals_dep['X'] and vals_dep['Y']:
X = vals_dep['X']
Y = vals_dep['Y']
units = 'meters'
coordinate_system = 'arbritrary'
ellipsoid = 'unknown'
else:
X = vals_dep['Lon']
Y = vals_dep['Lat']
units = 'degrees'
coordinate_system = 'geodetic'
ellipsoid = 'WGS84'
# Get deploy time epoch and us
dyr, ddoy, dhr, dmn, dsc = vals_dep['DTime'].split(':')
dyr, ddoy, dhr, dmn = map(int, [dyr, ddoy, dhr, dmn])
dtdoy = timedoy.TimeDOY(year=dyr,
month=None,
day=None,
hour=dhr,
minute=dmn,
second=float(dsc),
microsecond=0,
doy=ddoy,
epoch=None,
dtobject=None)
depoch = dtdoy.epoch()
dus = dtdoy.millisecond()
# Get pickup time epoch and us
pyr, pdoy, phr, pmn, psc = vals_pu['PUTime'].split(':')
pyr, pdoy, phr, pmn = map(int, [pyr, pdoy, phr, pmn])
ptdoy = timedoy.TimeDOY(year=pyr,
month=None,
day=None,
hour=phr,
minute=pmn,
second=float(psc),
microsecond=0,
doy=pdoy,
epoch=None,
dtobject=None)
pepoch = ptdoy.epoch()
pus = ptdoy.millisecond()
arrayID = int(vals_dep['Line'])
stationID = int(vals_dep['Station'])
chan = int(vals_dep['Channel'])
comment = vals_dep['Comment'] + " " + vals_pu['Comment']
array_t = '/Experiment_g/Sorts_g/Array_t_{0:03d}\n'.format(arrayID)
array_t += '\tid_s = {0}\n\tdescription_s = {1}\n'.format(
vals_dep['Station'], comment)
# DAS information
array_t += '\tdas/serial_number_s = {0}\n\tdas/model_s = {1}' \
'\n\tdas/manufacturer_s = {2}\n\tdas/notes_s = {3}\n' \
.format(vals_dep['ID'],
vals_dep['Type'],
'RefTek',
vals_dep['LED'])
# Deployment time
array_t += '\tdeploy_time/ascii_s = {0}\n\tdeploy_time/epoch_l = {1}' \
'\n\tdeploy_time/micro_seconds_i = {2}' \
'\n\tdeploy_time/type_s = {3}\n'\
.format(time.ctime(int(depoch)),
int(depoch),
int(dus),
'BOTH')
# Pickup time
array_t += '\tpickup_time/ascii_s = {0}' \
'\n\tpickup_time/epoch_l = {1}' \
'\n\tpickup_time/micro_seconds_i = {2}' \
'\n\tpickup_time/type_s = {3}\n'\
.format(time.ctime(int(pepoch)),
int(pepoch),
int(pus),
'BOTH')
# Longitude and Latitude
array_t += '\tlocation/X/value_d = {0}' \
'\n\tlocation/X/units_s = {1}' \
'\n\tlocation/Y/value_d = {2}' \
'\n\tlocation/Y/units_s = {3}\n'\
.format(X,
units,
Y,
units)
# Elevation
array_t += '\tlocation/Z/value_d = {0}' \
'\n\tlocation/Z/units_s = {1}' \
'\n\tlocation/coordinate_system_s = {2}' \
'\n\tlocation/projection_s = {3}' \
'\n\tlocation/description_s = {4}\n'\
.format(vals_dep['Elev'],
'meters',
coordinate_system,
'none',
ellipsoid,
'')
# Sensor information
array_t += '\tsensor/serial_number_s = {0}' \
'\n\tsensor/model_s = {1}' \
'\n\tsensor/manufacturer_s = {2}' \
'\n\tsensor/notes_s = {3}' \
'\n\tchannel_number_i = {4}'\
.format(vals_dep['Sensor'],
'',
'',
'',
vals_dep['Channel'])
ret.append(array_t)
RECVSTN[arrayID][stationID][chan] = array_t
def process_array():
''' Save station meta-data '''
global FIRST_TIME, LAST_TIME
p_array_t = {}
p_array_t['id_s'] = str(int(rh['channel_number']) & 0x7FFF)
p_array_t['das/serial_number_s'] = Das
p_array_t['channel_number_i'] = p_das_t['channel_number_i']
coordScale = rh['coordScale']
if coordScale < 0:
coordScale = -1. / coordScale
if rh['coordUnits'] == 1:
units = MFEET[bh['mfeet']]
else:
units = CUNITS[rh['coordUnits']]
p_array_t['location/X/value_d'] = rh['recLongOrX'] * coordScale
p_array_t['location/X/units_s'] = units
p_array_t['location/Y/value_d'] = rh['recLatOrY'] * coordScale
p_array_t['location/Y/units_s'] = units
elevationScale = rh['elevationScale']
if elevationScale < 0:
elevationScale = -1. / elevationScale
p_array_t['location/Z/value_d'] = rh['datumElevRec'] * elevationScale
p_array_t['location/Z/units_s'] = MFEET[bh['mfeet']]
year = rh['year']
doy = rh['day']
hour = rh['hour']
minute = rh['minute']
seconds = rh['second']
tdoy = timedoy.TimeDOY(year=year,
month=None,
day=None,
hour=hour,
minute=minute,
second=seconds,
microsecond=0,
doy=doy,
epoch=None,
dtobject=None)
if SR.ext_hdr_type == 'U':
# Menlo USGS
p_array_t['deploy_time/micro_seconds_i'] = eh['start_usec']
p_array_t['pickup_time/micro_seconds_i'] = eh['start_usec']
elif SR.ext_hdr_type == 'P':
# PASSCAL
p_array_t['deploy_time/micro_seconds_i'] = int(
eh['m_secs'] / 1000.)
p_array_t['pickup_time/micro_seconds_i'] = int(
eh['m_secs'] / 1000.)
else:
p_array_t['deploy_time/micro_seconds_i'] = 0
p_array_t['pickup_time/micro_seconds_i'] = 0
samples = rh['sampleLength']
sample_rate = (1. / rh['deltaSample']) * 1000000.
sample_rate, factor = as_ints(sample_rate)
sample_rate = sample_rate / factor
p_array_t['deploy_time/epoch_l'] = tdoy.epoch()
p_array_t['deploy_time/ascii_s'] = time.ctime(
p_array_t['deploy_time/epoch_l'])
p_array_t['deploy_time/type_s'] = 'BOTH'
if p_array_t['deploy_time/epoch_l'] < FIRST_TIME:
FIRST_TIME = p_array_t['deploy_time/epoch_l'] + \
(p_array_t['deploy_time/micro_seconds_i'] / 1000000.)
seconds = int(modf(samples / sample_rate)
[1]) + p_array_t['deploy_time/epoch_l']
usec = int(modf(samples / sample_rate)[0] * 1000000.)
p_array_t['pickup_time/micro_seconds_i'] += usec
if p_array_t['pickup_time/micro_seconds_i'] > 1000000:
x = p_array_t['pickup_time/micro_seconds_i'] / 1000000.
seconds += int(modf(x)[1])
p_array_t['pickup_time/micro_seconds_i'] = int(
modf(x)[0] * 1000000.)
p_array_t['pickup_time/epoch_l'] = seconds
p_array_t['pickup_time/ascii_s'] = time.ctime(seconds)
p_array_t['pickup_time/type_s'] = 'BOTH'
if p_array_t['pickup_time/epoch_l'] > LAST_TIME:
LAST_TIME = p_array_t['pickup_time/epoch_l'] + \
(p_array_t['pickup_time/micro_seconds_i'] / 1000000.)
ffid = rh['event_number']
if ffid not in ARRAY_T:
ARRAY_T[ffid] = []
ARRAY_T[ffid].append(p_array_t)
